paper_id uint32 | title string | authors list | ecva_url string | pdf_url string | supp_url string | doi string | arxiv_id string | arxiv_id_source string | abstract large_string | embedding list |
|---|---|---|---|---|---|---|---|---|---|---|
0 | Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images | [
"Jacopo Bonato",
"Marco Cotogni",
"Luigi Sabetta"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/4_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00004.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00004-supp.pdf | 10.1007/978-3-031-73232-4_1 | 2404.12922 | title_snapshot | In this paper, we introduce Selective-distillation for Class and Architecture-agnostic unleaRning (SCAR), a novel approximate unlearning method. SCAR efficiently eliminates specific information while preserving the model’s test accuracy without using a retain set, which is a key component in state-of-the-art approximat... | [
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1 | Octopus: Embodied Vision-Language Programmer from Environmental Feedback | [
"Jingkang Yang",
"Yuhao Dong",
"Shuai Liu",
"Bo Li",
"Ziyue Wang",
"ChenCheng Jiang",
"Haoran Tan",
"Jiamu Kang",
"Yuanhan Zhang",
"Kaiyang Zhou",
"Ziwei Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/6_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00006.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00006-supp.pdf | 10.1007/978-3-031-73232-4_2 | 2310.08588 | title_snapshot | Large vision-language models (VLMs) have achieved substantial progress in multimodal perception and reasoning. When integrated into an embodied agent, existing embodied VLM works either output detailed action sequences at the manipulation level or only provide plans at an abstract level, leaving a gap between high-leve... | [
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2 | FunQA: Towards Surprising Video Comprehension | [
"Binzhu Xie",
"Sicheng Zhang",
"Zitang Zhou",
"Bo Li",
"Yuanhan Zhang",
"Jack Hessel",
"Jingkang Yang",
"Ziwei Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/10_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00010.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00010-supp.pdf | 10.1007/978-3-031-73232-4_3 | 2306.14899 | title_snapshot | Surprising videos, e.g., funny clips, creative performances, or visual illusions, attract significant attention. Enjoyment of these videos is not simply a response to visual stimuli; rather, it hinges on the human capacity to understand (and appreciate) commonsense violations depicted in these videos. We introduce FunQ... | [
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3 | 4D Contrastive Superflows are Dense 3D Representation Learners | [
"Xiang Xu",
"Lingdong Kong",
"Hui Shuai",
"Wenwei Zhang",
"Liang Pan",
"Kai Chen",
"Ziwei Liu",
"Qingshan Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/19_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00019.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00019-supp.pdf | 10.1007/978-3-031-73232-4_4 | 2407.06190 | title_snapshot | In the realm of autonomous driving, accurate 3D perception is the foundation. However, developing such models relies on extensive human annotations – a process that is both costly and labor-intensive. To address this challenge from a data representation learning perspective, we introduce SuperFlow, a novel framework de... | [
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4 | ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation | [
"Yuyuan Liu",
"Yuanhong Chen",
"Hu Wang",
"Vasileios Belagiannis",
"Ian Reid",
"Gustavo Carneiro"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/22_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00022.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00022-supp.pdf | 10.1007/978-3-031-73232-4_5 | 2407.07171 | title_snapshot | The costly and time-consuming annotation process to produce large training sets for modelling semantic LiDAR segmentation methods has motivated the development of semi-supervised learning (SSL) methods. However, such SSL approaches often concentrate on employing consistency learning only for individual LiDAR representa... | [
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5 | Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos | [
"Keqiang Sun",
"Dor Litvak",
"Yunzhi Zhang",
"Hongsheng Li",
"Jiajun Wu",
"Shangzhe Wu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/29_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00029.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00029-supp.pdf | 10.1007/978-3-031-73232-4_6 | 2312.13604 | title_snapshot | We introduce a new method for learning a generative model of articulated 3D animal motions from raw, unlabeled online videos. Unlike existing approaches for 3D motion synthesis, our model requires no pose annotations or parametric shape models for training; it learns purely from a collection of unlabeled web video clip... | [
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6 | Robust Fitting on a Gate Quantum Computer | [
"Frances F Yang",
"Michele Sasdelli",
"Tat-Jun Chin"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/37_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00037.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00037-supp.pdf | 10.1007/978-3-031-73232-4_7 | 2409.02006 | title_snapshot | Gate quantum computers generate significant interest due to their potential to solve certain difficult problems such as prime factorization in polynomial time. Computer vision researchers have long been attracted to the power of quantum computers. Robust fitting, which is fundamentally important to many computer vision... | [
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7 | H-V2X: A Large Scale Highway Dataset for BEV Perception | [
"Chang Liu",
"MingXu zhu",
"Cong Ma"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/41_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00041.pdf | null | 10.1007/978-3-031-73232-4_8 | null | null | Vehicle-to-everything (V2X) technology has become an area of interest in research due to the availability of roadside infrastructure perception datasets. However, these datasets primarily focus on urban intersections and lack data on highway scenarios. Additionally, the perception tasks in the datasets are mainly MONO ... | [
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8 | Learning Camouflaged Object Detection from Noisy Pseudo Label | [
"Jin Zhang",
"Ruiheng Zhang",
"Yanjiao Shi",
"Zhe Cao",
"Nian Liu",
"Fahad Shahbaz Khan"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/51_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00051.pdf | null | 10.1007/978-3-031-73232-4_9 | 2407.13157 | title_snapshot | Existing Camouflaged Object Detection (COD) methods rely heavily on large-scale pixel-annotated training sets, which are both time-consuming and labor-intensive. Although weakly supervised methods offer higher annotation efficiency, their performance is far behind due to the unclear visual demarcations between foregrou... | [
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9 | Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance | [
"Kuan-Chih Huang",
"Yi-Hsuan Tsai",
"Ming-Hsuan Yang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/55_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00055.pdf | null | 10.1007/978-3-031-73232-4_10 | 2312.07530 | title_snapshot | Weakly supervised 3D object detection aims to learn a 3D detector with lower annotation cost, e.g., 2D labels. Unlike prior work which still relies on few accurate 3D annotations, we propose a framework to study how to leverage constraints between 2D and 3D domains without requiring any 3D labels. Specifically, we empl... | [
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10 | Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions | [
"Weng Fei Low",
"Gim Hee Lee"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/69_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00069.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00069-supp.pdf | 10.1007/978-3-031-73232-4_11 | 2409.17988 | title_snapshot | The distinctive design philosophy of event cameras makes them ideal for high-speed, high dynamic range & low-light environments, where standard cameras underperform. However, event cameras also suffer from motion blur, especially under these challenging conditions, contrary to what most think. This is due to the limite... | [
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11 | CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction | [
"Shengke Sun",
"Ziqian Luan",
"Zhanshan Zhao",
"Shijie Luo",
"Shuzhen Han"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/72_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00072.pdf | null | 10.1007/978-3-031-73232-4_12 | null | null | Generative Adversarial Networks(GANs) have received considerable attention due to its outstanding ability to generate images. However, training a GAN is hard since the game between the Generator(G) and the Discriminator(D) is unfair. Towards making the competition fairer, we propose a new perspective of training GANs, ... | [
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12 | Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence | [
"Mengyao Lyu",
"Tianxiang Hao",
"Xinhao Xu",
"Hui Chen",
"Zijia Lin",
"Jungong Han",
"Guiguang Ding"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/73_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00073.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00073-supp.pdf | 10.1007/978-3-031-73232-4_13 | 2407.18899 | title_snapshot | Domain Adaptation (DA) facilitates knowledge transfer from a source domain to a related target domain. This paper investigates a practical DA paradigm, namely Source data-Free Active Domain Adaptation (SFADA), where source data becomes inaccessible during adaptation, and a minimum amount of annotation budget is availab... | [
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13 | PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts | [
"Zewen Chen",
"Haina Qin",
"Juan Wang",
"Chunfeng Yuan",
"Bing Li",
"Weiming Hu",
"Leon Wang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/75_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00075.pdf | null | 10.1007/978-3-031-73232-4_14 | 2403.04993 | title_snapshot | Due to the diversity of assessment requirements in various application scenarios for the IQA task, existing IQA methods struggle to directly adapt to these varied requirements after training. Thus, when facing new requirements, a typical approach is fine-tuning these models on datasets specifically created for those re... | [
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14 | Motion Mamba: Efficient and Long Sequence Motion Generation | [
"Zeyu Zhang",
"Akide Liu",
"Ian Reid",
"RICHARD HARTLEY",
"Bohan Zhuang",
"Hao Tang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/100_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00100.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00100-supp.pdf | 10.1007/978-3-031-73232-4_15 | 2403.07487 | title_snapshot | Human motion generation stands as a significant pursuit in generative computer vision, while achieving long-sequence and efficient motion generation remains challenging. Recent advancements in state space models (SSMs), notably Mamba, have showcased considerable promise in long sequence modeling with an efficient hardw... | [
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15 | Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis | [
"Yuanhao Cai",
"Yixun Liang",
"Jiahao Wang",
"Angtian Wang",
"Yulun Zhang",
"Xiaokang Yang",
"Zongwei Zhou",
"Alan Yuille"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/111_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00111.pdf | null | 10.1007/978-3-031-73232-4_16 | 2403.04116 | title_snapshot | X-ray is widely applied for transmission imaging due to its stronger penetration than natural light. When rendering novel view X-ray projections, existing methods mainly based on NeRF suffer from long training time and slow inference speed. In this paper, we propose a 3D Gaussian splatting-based method, namely X-Gaussi... | [
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16 | "Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance" | [
"Liting Lin",
"Heng Fan",
"Zhipeng Zhang",
"Yaowei Wang",
"Yong Xu",
"Haibin Ling"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/113_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00113.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00113-supp.pdf | 10.1007/978-3-031-73232-4_17 | 2403.05231 | title_snapshot | Motivated by the Parameter-Efficient Fine-Tuning (PEFT) in large language models, we propose LoRAT, a method that unveils the power of larger Vision Transformers (ViT) for tracking within laboratory-level resources. The essence of our work lies in adapting LoRA, a technique that fine-tunes a small subset of model param... | [
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17 | A Direct Approach to Viewing Graph Solvability | [
"Federica Arrigoni",
"Andrea Fusiello",
"Tomas Pajdla"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/126_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00126.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00126-supp.pdf | 10.1007/978-3-031-73232-4_18 | null | null | The viewing graph is a useful way to represent uncalibrated cameras and their geometric relationships: nodes correspond to cameras and edges represent fundamental matrices. By analyzing this graph, it is possible to establish if the problem is “solvable” in the sense that there exists a unique (up to a single projectiv... | [
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18 | CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization | [
"Jiawei Zhang",
"Jiahe Li",
"Xiaohan Yu",
"Lei Huang",
"Lin Gu",
"Jin Zheng",
"Xiao Bai"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/139_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00139.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00139-supp.pdf | 10.1007/978-3-031-73232-4_19 | 2405.12110 | title_snapshot | 3D Gaussian Splatting (3DGS) creates a radiance field consisting of 3D Gaussians to represent a scene. With sparse training views, 3DGS easily suffers from overfitting, negatively impacting rendering. This paper introduces a new co-regularization perspective for improving sparse-view 3DGS. When training two 3D Gaussian... | [
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19 | SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving | [
"Qingwen Zhang",
"Yi Yang",
"Peizheng Li",
"Olov Andersson",
"Patric Jensfelt"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/143_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00143.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00143-supp.pdf | 10.1007/978-3-031-73232-4_20 | 2407.01702 | title_snapshot | Scene flow estimation predicts the 3D motion at each point in successive LiDAR scans. This detailed, point-level, information can help autonomous vehicles to accurately predict and understand dynamic changes in their surroundings. Current state-of-the-art methods require annotated data to train scene flow networks and ... | [
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20 | ZeST: Zero-Shot Material Transfer from a Single Image | [
"Ta-Ying Cheng",
"Prafull Sharma",
"Andrew Markham",
"Niki Trigoni",
"Varun Jampani"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/144_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00144.pdf | null | 10.1007/978-3-031-73232-4_21 | 2404.06425 | title_snapshot | We propose , a method for zero-shot material transfer to an object in the input image given a material exemplar image. leverages existing diffusion adapters to extract implicit material representation from the exemplar image. This representation is used to transfer the material using pre-trained inpainting diffusion mo... | [
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21 | 3D Congealing: 3D-Aware Image Alignment in the Wild | [
"Yunzhi Zhang",
"Zizhang Li",
"Amit Raj",
"Andreas Engelhardt",
"Yuanzhen Li",
"Tingbo Hou",
"Jiajun Wu",
"Varun Jampani"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/145_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00145.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00145-supp.pdf | 10.1007/978-3-031-73232-4_22 | 2404.02125 | title_snapshot | We propose , a novel problem of 3D-aware alignment for 2D images capturing semantically similar objects. Given a collection of unlabeled Internet images, our goal is to associate the shared semantic parts from the inputs and aggregate the knowledge from 2D images to a shared 3D canonical space. We introduce a general f... | [
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22 | SMooDi: Stylized Motion Diffusion Model | [
"Lei Zhong",
"Yiming Xie",
"Varun Jampani",
"Deqing Sun",
"Huaizu Jiang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/147_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00147.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00147-supp.pdf | 10.1007/978-3-031-73232-4_23 | 2407.12783 | title_snapshot | We introduce a novel Stylized Motion Diffusion model, dubbed , to generate stylized motion driven by content texts and style motion sequences. Unlike existing methods that either generate motion of various content or transfer style from one sequence to another, can rapidly generate motion across a broad range of conten... | [
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23 | ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs | [
"Viraj Shah",
"Nataniel Ruiz",
"Forrester Cole",
"Erika Lu",
"Svetlana Lazebnik",
"Yuanzhen Li",
"Varun Jampani"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/148_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00148.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00148-supp.pdf | 10.1007/978-3-031-73232-4_24 | 2311.13600 | title_snapshot | Methods for finetuning generative models for concept-driven personalization generally achieve strong results for subject-driven or style-driven generation. Recently, low-rank adaptations () have been proposed as a parameter-efficient way of achieving concept-driven personalization. While recent work explores the combin... | [
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24 | SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion | [
"Vikram Voleti",
"Chun-Han Yao",
"Mark Boss",
"Adam Letts",
"David Pankratz",
"Dmitrii Tochilkin",
"Christian Laforte",
"Robin Rombach",
"Varun Jampani"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/150_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00150.pdf | null | 10.1007/978-3-031-73232-4_25 | 2403.12008 | title_snapshot | We present Stable Video 3D (SV3D) — a latent video diffusion model for high-resolution, image-to-multi-view generation of orbital videos around a 3D object. Recent works propose to adapt 2D generative models for novel view synthesis (NVS) and 3D optimization. However, these methods have several disadvantages due to lim... | [
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25 | WordRobe: Text-Guided Generation of Textured 3D Garments | [
"Astitva Srivastava",
"Pranav Manu",
"Amit Raj",
"Varun Jampani",
"Avinash Sharma"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/151_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00151.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00151-supp.pdf | 10.1007/978-3-031-73232-4_26 | 2403.17541 | title_snapshot | In this paper, we tackle a new and challenging problem of text-driven generation of 3D garments with high-quality textures. We propose, WordRobe, a novel framework for the generation of unposed & textured 3D garment meshes from user-friendly text prompts. We achieve this by first learning a latent representation of 3D ... | [
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26 | Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation | [
"Taekyung Ki",
"Dongchan Min",
"Gyeongsu Chae"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/159_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00159.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00159-supp.pdf | 10.1007/978-3-031-73232-4_27 | 2404.00636 | title_snapshot | In this paper, we present , a one-shot 3D-aware portrait animation method that is able to control the facial expression and camera view of a given portrait image. To achieve this, we introduce a tri-plane generator with an effective expression conditioning method, which directly generates a tri-plane of 3D prior by tra... | [
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27 | SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras | [
"Yingqi Tang",
"Zhaotie Meng",
"Guoliang Chen",
"Erkang Cheng"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/161_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00161.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00161-supp.pdf | 10.1007/978-3-031-72627-9_1 | 2403.10353 | title_snapshot | The field of autonomous driving has attracted considerable interest in approaches that directly infer 3D objects in the Bird’s Eye View (BEV) from multiple cameras. Some attempts have also explored utilizing 2D detectors from single images to enhance the performance of 3D detection. However, these approaches rely on a ... | [
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28 | "EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation" | [
"Wenyang Zhou",
"Zhiyang Dou",
"Zeyu Cao",
"Zhouyingcheng Liao",
"Jingbo Wang",
"Wenjia Wang",
"Yuan Liu",
"Taku Komura",
"Wenping Wang",
"Lingjie Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/168_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00168.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00168-supp.pdf | 10.1007/978-3-031-72627-9_2 | 2312.02256 | title_judge | We introduce Efficient Motion Diffusion Model (EMDM) for fast and high-quality human motion generation. Current state-of-the-art generative diffusion models have produced impressive results but struggle to achieve fast generation without sacrificing quality. On the one hand, previous works, like motion latent diffusion... | [
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29 | Editable Image Elements for Controllable Synthesis | [
"Jiteng Mu",
"Michaël Gharbi",
"Richard Zhang",
"Eli Shechtman",
"Nuno Vasconcelos",
"Xiaolong Wang",
"Taesung Park"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/175_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00175.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00175-supp.pdf | 10.1007/978-3-031-72627-9_3 | 2404.16029 | title_snapshot | Diffusion models have made significant advances in text-guided synthesis tasks. However, editing user-provided images remains challenging, as the high dimensional noise input space of diffusion models is not naturally suited for image inversion or spatial editing. In this work, we propose an image representation that p... | [
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30 | Improving 2D Feature Representations by 3D-Aware Fine-Tuning | [
"Yuanwen Yue",
"Anurag Das",
"Francis Engelmann",
"Siyu Tang",
"Jan Eric Lenssen"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/176_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00176.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00176-supp.pdf | 10.1007/978-3-031-72627-9_4 | 2407.20229 | title_snapshot | Current visual foundation models are trained purely on unstructured 2D data, limiting their understanding of 3D structure of objects and scenes. In this work, we show that fine-tuning on 3D-aware data improves the quality of emerging semantic features. We design a method to lift semantic 2D features into an efficient 3... | [
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31 | Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection | [
"Yuanpeng Tu",
"Boshen Zhang",
"Liang Liu",
"YUXI LI",
"Jiangning Zhang",
"Yabiao Wang",
"Chengjie Wang",
"cairong zhao"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/180_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00180.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00180-supp.pdf | 10.1007/978-3-031-72627-9_5 | 2401.03145 | title_snapshot | Industrial anomaly detection is generally addressed as an unsupervised task that aims at locating defects with only normal training samples. Recently, numerous 2D anomaly detection methods have been proposed and have achieved promising results, however, using only the 2D RGB data as input is not sufficient to identify ... | [
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32 | PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion | [
"Runsong Zhu",
"Shi Qiu",
"Qianyi Wu",
"Ka-Hei Hui",
"Pheng-Ann Heng",
"Chi-Wing Fu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/187_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00187.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00187-supp.pdf | 10.1007/978-3-031-72627-9_6 | 2410.10659 | title_snapshot | Panoptic lifting is an effective technique to address the 3D panoptic segmentation task by unprojecting 2D panoptic segmentations from multi-views to 3D scene. However, the quality of its results largely depends on the 2D segmentations, which could be noisy and error-prone, so its performance often drops significantly ... | [
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33 | SemGrasp: Semantic Grasp Generation via Language Aligned Discretization | [
"Kailin Li",
"Jingbo Wang",
"Lixin Yang",
"Cewu Lu",
"Bo Dai"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/193_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00193.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00193-supp.pdf | 10.1007/978-3-031-72627-9_7 | 2404.03590 | title_snapshot | Generating natural human grasps necessitates consideration of not just object geometry but also semantic information. Solely depending on object shape for grasp generation confines the applications of prior methods in downstream tasks. This paper presents a novel semantic-based grasp generation method, termed , which g... | [
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34 | MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation | [
"Jiaxi Jiang",
"Paul Streli",
"Xuejing Luo",
"Christoph Gebhardt",
"Christian Holz"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/194_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00194.pdf | null | 10.1007/978-3-031-72627-9_8 | null | null | Mixed Reality systems aim to estimate a user’s full-body joint configurations from just the pose of the end effectors, primarily head and hand poses. Existing methods often involve solving inverse kinematics (IK) to obtain the full skeleton from just these sparse observations, usually directly optimizing the joint angl... | [
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35 | Simple Unsupervised Knowledge Distillation With Space Similarity | [
"Aditya Singh",
"Haohan Wang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/195_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00195.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00195-supp.pdf | 10.1007/978-3-031-72627-9_9 | 2409.13939 | title_snapshot | As per recent studies, Self-supervised learning (SSL) does not readily extend to smaller architectures. One direction to mitigate this shortcoming while simultaneously training a smaller network without labels is to adopt unsupervised knowledge distillation (UKD). Existing UKD approaches handcraft preservation worthy i... | [
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36 | DragAPart: Learning a Part-Level Motion Prior for Articulated Objects | [
"Ruining Li",
"Chuanxia Zheng",
"Christian Rupprecht",
"Andrea Vedaldi"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/201_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00201.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00201-supp.pdf | 10.1007/978-3-031-72627-9_10 | 2403.15382 | title_snapshot | We introduce , a method that, given an image and a set of drags as input, generates a new image of the same object that responds to the action of the drags. Differently from prior works that focused on repositioning objects, predicts part-level interactions, such as opening and closing a drawer. We study this problem a... | [
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37 | Diffusion Bridges for 3D Point Cloud Denoising | [
"Mathias Vogel Hüni",
"Keisuke Tateno",
"Marc Pollefeys",
"Federico Tombari",
"Marie-Julie Rakotosaona",
"Francis Engelmann"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/203_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00203.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00203-supp.pdf | 10.1007/978-3-031-72627-9_11 | null | null | In this work, we address the task of point cloud denoising using a novel framework adapting Diffusion Schrödinger bridges to unstructured data like point sets. Unlike previous works that predict point-wise displacements from point features or learned noise distributions, our method learns an optimal transport plan bet... | [
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38 | Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging | [
"Mahmoud Afifi",
"Zhenhua Hu",
"Liang Liang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/206_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00206.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00206-supp.pdf | 10.1007/978-3-031-72627-9_12 | 2403.02449 | title_snapshot | High dynamic range (HDR) imaging involves capturing a series of frames of the same scene, each with different exposure settings, to broaden the dynamic range of light. This can be achieved through burst capturing or using staggered HDR sensors that capture long and short exposures simultaneously in the camera image sig... | [
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39 | BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos | [
"Pilhyeon Lee",
"Hyeran Byun"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/212_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00212.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00212-supp.pdf | 10.1007/978-3-031-72627-9_13 | 2312.00083 | title_snapshot | Temporal sentence grounding aims to localize moments relevant to a language description. Recently, DETR-like approaches achieved notable progress by predicting the center and length of a target moment. However, they suffer from the issue of center misalignment raised by the inherent ambiguity of moment centers, leading... | [
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40 | MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description | [
"Ziqiang Zheng",
"Yiwei Chen",
"Huimin Zeng",
"Tuan-Anh Vu",
"Binh-Son Hua",
"Sai-Kit Yeung"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/223_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00223.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00223-supp.pdf | 10.1007/978-3-031-72627-9_14 | null | null | Recent foundation models trained on a tremendous scale of data have shown great promise in a wide range of computer vision tasks and application domains. However, less attention has been paid to the marine realms, which in contrast cover the majority of our blue planet. The scarcity of labeled data is the most hinderin... | [
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41 | Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data | [
"Jia-Yi Li",
"Xi-Le Zhao",
"Jian-Li Wang",
"Chao Wang",
"Min Wang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/234_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00234.pdf | null | 10.1007/978-3-031-72627-9_15 | 2411.11356 | title_snapshot | Recently, implicit neural representations (INRs) have attracted increasing attention for multi-dimensional data recovery. However, INRs simply map coordinates via a multi-layer perceptron (MLP) to corresponding values, ignoring the inherent semantic information of the data. To leverage semantic priors from the data, we... | [
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42 | EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere | [
"Jiaxi Jiang",
"Paul Streli",
"Manuel Meier",
"Christian Holz"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/248_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00248.pdf | null | 10.1007/978-3-031-72627-9_16 | 2308.06493 | title_snapshot | Full-body egocentric pose estimation from head and hand poses alone has become an active area of research to power articulate avatar representations on headset-based platforms. However, existing methods over-rely on the indoor motion-capture spaces in which datasets were recorded, while simultaneously assuming continuo... | [
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43 | Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition | [
"Satoshi Ikehata",
"Yuta Asano"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/252_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00252.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00252-supp.pdf | 10.1007/978-3-031-72627-9_17 | 2410.20716 | title_snapshot | In this paper, we present a groundbreaking spectrally multiplexed photometric stereo approach for recovering surface normals of dynamic surfaces without the need for calibrated lighting or sensors, a notable advancement in the field traditionally hindered by stringent prerequisites and spectral ambiguity. By embracing ... | [
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44 | SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction | [
"Marko Mihajlovic",
"Sergey Prokudin",
"Siyu Tang",
"Robert Maier",
"Federica Bogo",
"Tony Tung",
"Edmond Boyer"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/254_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00254.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00254-supp.pdf | 10.1007/978-3-031-72627-9_18 | 2409.11211 | title_snapshot | Digitizing 3D static scenes and 4D dynamic events from multi-view images has long been a challenge in computer vision and graphics. Recently, 3D Gaussian Splatting (3DGS) has emerged as a practical and scalable reconstruction method, gaining popularity due to its impressive reconstruction quality, real-time rendering c... | [
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45 | VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models | [
"Junlin Han",
"Filippos Kokkinos",
"Philip Torr"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/255_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00255.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00255-supp.pdf | 10.1007/978-3-031-72627-9_19 | 2403.12034 | title_snapshot | This paper presents a novel method for building scalable 3D generative models utilizing pre-trained video diffusion models. The primary obstacle in developing foundation 3D generative models is the limited availability of 3D data. Unlike images, texts, or videos, 3D data are not readily accessible and are difficult to ... | [
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46 | Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences | [
"Shishir Reddy Vutukur",
"Junwen Huang",
"Rasmus Laurvig Haugaard",
"Benjamin Busam",
"Tolga Birdal"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/259_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00259.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00259-supp.pdf | 10.1007/978-3-031-72627-9_20 | 2409.06683 | title_snapshot | Object pose distribution estimation is crucial in robotics for better path planning and handling of symmetric objects. Recent distribution estimation approaches employ contrastive learning-based approaches by maximizing the likelihood of a single pose estimate in the absence of a CAD model. We propose a pose distributi... | [
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47 | Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs | [
"Muhammad Jehanzeb Mirza",
"Leonid Karlinsky",
"Wei Lin",
"Sivan Doveh",
"Jakub Micorek",
"Mateusz Kozinski",
"Hilde Kuehne",
"Horst Possegger"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/261_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00261.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00261-supp.pdf | 10.1007/978-3-031-72627-9_21 | 2403.11755 | title_snapshot | Prompt ensembling of Large Language Model (LLM) generated category-specific prompts has emerged as an effective method to enhance zero-shot recognition ability of Vision-Language Models (VLMs). To obtain these category-specific prompts, the present methods rely on hand-crafting the prompts to the LLMs for generating VL... | [
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48 | Physics-Based Interaction with 3D Objects via Video Generation | [
"Tianyuan Zhang",
"Hong-Xing Yu",
"Rundi Wu",
"Brandon Y Feng",
"Changxi Zheng",
"Noah Snavely",
"Jiajun Wu",
"William T. Freeman"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/270_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00270.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00270-supp.pdf | 10.1007/978-3-031-72627-9_22 | null | null | Realistic object interactions are crucial for creating immersive virtual experiences, yet synthesizing realistic 3D object dynamics in response to novel interactions remains a significant challenge. Unlike unconditional or text-conditioned dynamics generation, action-conditioned dynamics requires perceiving the physica... | [
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49 | Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians | [
"Licheng Zhong",
"Hong-Xing Yu",
"Jiajun Wu",
"Yunzhu Li"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/271_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00271.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00271-supp.pdf | 10.1007/978-3-031-72627-9_23 | 2403.09434 | title_snapshot | Reconstructing and simulating elastic objects from visual observations is crucial for applications in computer vision and robotics. Existing methods, such as 3D Gaussians, model 3D appearance and geometry, but lack the ability to estimate physical properties for objects and simulate them. The core challenge lies in int... | [
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50 | Deep Patch Visual SLAM | [
"Lahav Lipson",
"Zachary Teed",
"Jia Deng"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/272_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00272.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00272-supp.pdf | 10.1007/978-3-031-72627-9_24 | 2408.01654 | title_snapshot | Recent work in Visual Odometry and SLAM has shown the effectiveness of using deep network backbones. Despite excellent accuracy, such approaches are often expensive to run or do not generalize well zero-shot. To address this problem, we introduce Deep Patch Visual-SLAM, a new system for monocular visual SLAM based on t... | [
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51 | Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints | [
"Qianyi Wu",
"Jianmin Zheng",
"Jianfei Cai"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/274_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00274.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00274-supp.pdf | 10.1007/978-3-031-72627-9_25 | null | null | This paper presents a novel approach for surface mesh reconstruction from 3D Gaussian Splatting (3DGS) [?], a technique renowned for its efficiency in novel view synthesis but challenged for surface reconstruction. The key obstacle is the lack of geometry hints to regulate the optimization of millions of unorganized Ga... | [
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52 | HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting | [
"Helisa Dhamo",
"Yinyu Nie",
"Arthur Moreau",
"Jifei Song",
"Richard Shaw",
"Yiren Zhou",
"Eduardo Pérez-Pellitero"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/280_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00280.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00280-supp.pdf | 10.1007/978-3-031-72627-9_26 | 2312.02902 | title_snapshot | 3D head animation has seen major quality and runtime improvements over the last few years, particularly empowered by the advances in differentiable rendering and neural radiance fields. Real-time rendering is a highly desirable goal for real-world applications. We propose HeadGaS, a model that uses 3D Gaussian Splats (... | [
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53 | LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow | [
"Hongyu Wen",
"Erich Liang",
"Jia Deng"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/289_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00289.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00289-supp.pdf | 10.1007/978-3-031-72627-9_27 | 2409.05688 | title_snapshot | Achieving 3D understanding of non-Lambertian objects is an important task with many useful applications, but most existing algorithms struggle to deal with such objects. One major obstacle towards progress in this field is the lack of holistic non-Lambertian benchmarks—most benchmarks have low scene and object diversit... | [
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54 | Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal | [
"Yuxin Wang",
"Qianyi Wu",
"Guofeng Zhang",
"Dan Xu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/294_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00294.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00294-supp.pdf | 10.1007/978-3-031-72646-0_1 | 2404.13679 | title_judge | This paper tackles the intricate challenge of object removal to update the radiance field using the 3D Gaussian Splatting. The main challenges of this task lie in the preservation of geometric consistency and the maintenance of texture coherence in the presence of the substantial discrete nature of Gaussian primitives.... | [
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55 | Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation | [
"Friedhelm Hamann",
"Ziyun Wang",
"Ioannis Asmanis",
"Kenneth Chaney",
"Guillermo Gallego",
"Kostas Daniilidis"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/304_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00304.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00304-supp.pdf | 10.1007/978-3-031-72646-0_2 | 2407.10802 | title_snapshot | Current optical flow and point-tracking methods rely heavily on synthetic datasets. Event cameras are novel vision sensors with advantages in challenging visual conditions, but state-of-the-art frame-based methods cannot be easily adapted to event data due to the limitations of current event simulators. We introduce a ... | [
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56 | Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning | [
"Cong Wu",
"Xiao-Jun Wu",
"Linze Li",
"Tianyang Xu",
"Zhenhua Feng",
"Josef Kittler"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/305_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00305.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00305-supp.pdf | 10.1007/978-3-031-72646-0_3 | null | null | The integration with CLIP (Contrastive Vision-Language Pre-training) has significantly refreshed the accuracy leaderboard of FSAR (Few-Shot Action Recognition). However, the trainable overhead of ensuring that the domain alignment of CLIP and FSAR is often unbearable. To mitigate this issue, we present an Efficient Mul... | [
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57 | Text2Place: Affordance-aware Text Guided Human Placement | [
"Rishubh Parihar",
"Harsh Gupta",
"Sachidanand VS",
"Venkatesh Babu RADHAKRISHNAN"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/308_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00308.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00308-supp.pdf | 10.1007/978-3-031-72646-0_4 | 2407.15446 | title_snapshot | For a given scene, humans can easily reason for the locations and pose to place objects. Designing a computational model to reason about these affordances poses a significant challenge, mirroring the intuitive reasoning abilities of humans. This work tackles the problem of realistic human insertion in a given backgroun... | [
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58 | OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations | [
"Yiming Zuo",
"Jia Deng"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/319_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00319.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00319-supp.pdf | 10.1007/978-3-031-72646-0_5 | 2406.11711 | title_snapshot | Depth completion is the task of generating a dense depth map given an image and a sparse depth map as inputs. In this paper, we present OGNI-DC, a novel framework for depth completion. The key to our method is “Optimization-Guided Neural Iterations” (OGNI). It consists of a recurrent unit that refines a depth gradient ... | [
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59 | Zero-Shot Multi-Object Scene Completion | [
"Shun Iwase",
"Katherine Liu",
"Vitor Guizilini",
"Adrien Gaidon",
"Kris Kitani",
"Rareș A Ambruș",
"Sergey Zakharov"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/324_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00324.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00324-supp.pdf | 10.1007/978-3-031-72646-0_6 | 2403.14628 | title_snapshot | We present a 3D scene completion method that recovers the complete geometry of multiple unseen objects in complex scenes from a single RGB-D image. Despite notable advancements in single-object 3D shape completion, high-quality reconstructions in highly cluttered real-world multi-object scenes remains a challenge. To a... | [
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60 | Beta-Tuned Timestep Diffusion Model | [
"Tianyi Zheng",
"Peng-Tao Jiang",
"Ben Wan",
"Hao Zhang",
"Jinwei Chen",
"Jia Wang",
"Bo Li"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/328_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00328-supp.pdf | 10.1007/978-3-031-72646-0_7 | null | null | Diffusion models have received a lot of attention in the field of generation due to their ability to produce high-quality samples. However, several recent studies indicate that treating all distributions equally in diffusion model training is sub-optimal. In this paper, we conduct an in-depth theoretical analysis of th... | [
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61 | POA: Pre-training Once for Models of All Sizes | [
"Yingying Zhang",
"Xin Guo",
"Jiangwei Lao",
"Lei Yu",
"Lixiang Ru",
"Jian Wang",
"Guo Ye",
"HUIMEI HE",
"Jingdong Chen",
"Ming Yang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/333_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00333.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00333-supp.pdf | 10.1007/978-3-031-72646-0_8 | 2408.01031 | title_snapshot | Large-scale self-supervised pre-training has paved the way for one foundation model to handle many different vision tasks. Most pre-training methodologies train a single model of a certain size at one time. Nevertheless, various computation or storage constraints in real-world scenarios require substantial efforts to d... | [
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62 | Taming Latent Diffusion Model for Neural Radiance Field Inpainting | [
"Chieh Hubert Lin",
"Changil Kim",
"Jia-Bin Huang",
"Qinbo Li",
"Chih-Yao Ma",
"Johannes Kopf",
"Ming-Hsuan Yang",
"Hung-Yu Tseng"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/354_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00354.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00354-supp.pdf | 10.1007/978-3-031-72646-0_9 | 2404.09995 | title_snapshot | Neural Radiance Field (NeRF) is a representation for 3D reconstruction from multi-view images. Despite some recent work showing preliminary success in editing a reconstructed NeRF with diffusion prior, they remain struggling to synthesize reasonable geometry in completely uncovered regions. One major reason is the high... | [
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63 | MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation | [
"Xiaoshuai Hao",
"Ruikai Li",
"Hui Zhang",
"Rong Yin",
"Dingzhe Li",
"Sangil Jung",
"Seung-In Park",
"ByungIn Yoo",
"Haimei Zhao",
"Jing Zhang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/358_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00358.pdf | null | 10.1007/978-3-031-72646-0_10 | 2407.11682 | title_snapshot | Online high-definition (HD) map construction is an important and challenging task in autonomous driving. Recently, there has been a growing interest in cost-effective multi-view camera-based methods without relying on other sensors like LiDAR. However, these methods suffer from a lack of explicit depth information, nec... | [
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64 | "ByteEdit: Boost, Comply and Accelerate Generative Image Editing" | [
"Yuxi Ren",
"Jie Wu",
"Yanzuo Lu",
"Huafeng Kuang",
"Xin Xia",
"Xionghui Wang",
"Qianqian Wang",
"Yixing Zhu",
"Pan Xie",
"Shiyin Wang",
"Xuefeng Xiao",
"Yitong Wang",
"Min Zheng",
"Lean FU"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/359_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00359.pdf | null | 10.1007/978-3-031-72646-0_11 | 2404.04860 | title_snapshot | Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks. Despite these strides, the field grapples with inherent challenges, including: i) inferior quality; ii) poor consistency; iii) insufficient instrcution a... | [
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65 | ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion | [
"Sungmin Woo",
"Wonjoon Lee",
"Woo Jin Kim",
"Dogyoon Lee",
"Sangyoun Lee"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/367_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00367.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00367-supp.pdf | 10.1007/978-3-031-72646-0_12 | 2407.09303 | title_snapshot | Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene. However, the presence of moving objects in dynamic scenes introduces inevitable inconsistencies, causing misaligned multi-frame feature matching and misleading sel... | [
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66 | High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs | [
"Ruikang Xu",
"Mingde Yao",
"Yue Li",
"Yueyi Zhang",
"Zhiwei Xiong"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/368_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00368.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00368-supp.pdf | 10.1007/978-3-031-72646-0_13 | null | null | Novel view synthesis has achieved remarkable quality and efficiency by the paradigm of 3D Gaussian Splatting (3D-GS), but still faces two challenges: 1) significant performance degradation when trained with only few-shot samples due to a lack of geometry constraint, and 2) incapability of rendering at a higher resoluti... | [
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67 | Accelerating Image Super-Resolution Networks with Pixel-Level Classification | [
"Jinho Jeong",
"Jinwoo Kim",
"Younghyun Jo",
"Seon Joo Kim"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/370_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00370.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00370-supp.pdf | 10.1007/978-3-031-72646-0_14 | 2407.21448 | title_snapshot | In recent times, the need for effective super-resolution (SR) techniques has surged, especially for large-scale images ranging 2K to 8K resolutions. For DNN-based SISR, decomposing images into overlapping patches is typically necessary due to computational constraints. In such patch-decomposing scheme, one can allocate... | [
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68 | LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation | [
"Jianan Li",
"Qiulei Dong"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/378_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00378.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00378-supp.pdf | 10.1007/978-3-031-72646-0_15 | null | null | Precisely annotating large-scale 3D datasets for point cloud segmentation is laborious. To alleviate the annotation burden, several semi-supervised 3D segmentation methods have been proposed in literature. However, two issues remain to be tackled: 1) The utilization of large language-vision models (LVM) in semi-supervi... | [
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69 | Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution | [
"Xingyuan Li",
"Jinyuan Liu",
"ZHIXIN CHEN",
"Yang Zou",
"Long Ma",
"Xin Fan",
"Risheng Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/391_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00391.pdf | null | 10.1007/978-3-031-72646-0_16 | null | null | Image super-resolution (SR) is a critical technique for enhancing image quality, playing a vital role in image enhancement. While recent advancements, notably transformer-based methods, have advanced the field, infrared image SR remains a formidable challenge. Due to the inherent characteristics of infrared sensors, su... | [
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70 | Click-Gaussian: Interactive Segmentation to Any 3D Gaussians | [
"Seokhun Choi",
"Hyeonseop Song",
"Jaechul Kim",
"Taehyeong Kim",
"Hoseok Do"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/406_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00406.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00406-supp.pdf | 10.1007/978-3-031-72646-0_17 | 2407.11793 | title_snapshot | Interactive segmentation of 3D Gaussians opens a great opportunity for real-time manipulation of 3D scenes thanks to the real-time rendering capability of 3D Gaussian Splatting. However, the current methods suffer from time-consuming post-processing to deal with noisy segmentation output. Also, they struggle to provide... | [
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71 | Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes | [
"Zelong Zeng",
"Kaname Tomite"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/412_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00412.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00412-supp.pdf | 10.1007/978-3-031-72646-0_18 | 2404.17961 | title_snapshot | In anomaly segmentation for complex driving scenes, state-of-the-art approaches utilize anomaly scoring functions to calculate anomaly scores. For these functions, accurately predicting the logits of inlier classes for each pixel is crucial for precisely inferring the anomaly score. However, in real-world driving scena... | [
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72 | DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction | [
"Mozghan Pourkeshavarz",
"Arielle Zhang",
"Amir Rasouli"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/414_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00414.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00414-supp.pdf | 10.1007/978-3-031-72646-0_19 | null | null | The lack of generalization capability of behavior prediction models for autonomous vehicles is a crucial concern for safe motion planning. One way to address this is via self-supervised pre-training through masked trajectory prediction. However, the existing models rely on uniform random sampling of tokens, which is su... | [
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73 | Track Everything Everywhere Fast and Robustly | [
"Yunzhou Song",
"Jiahui Lei",
"Ziyun Wang",
"Lingjie Liu",
"Kostas Daniilidis"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/418_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00418.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00418-supp.pdf | 10.1007/978-3-031-72646-0_20 | 2403.17931 | title_snapshot | We propose a novel test-time optimization approach for efficiently and robustly tracking any pixel at any time in a video. The latest state-of-the-art optimization-based tracking technique, OmniMotion, requires a prohibitively long optimization time, rendering it impractical for downstream applications. OmniMotion is s... | [
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74 | Towards Open-ended Visual Quality Comparison | [
"Haoning Wu",
"Hanwei Zhu",
"Zicheng Zhang",
"Erli Zhang",
"Chaofeng Chen",
"Liang Liao",
"Chunyi Li",
"Annan Wang",
"Wenxiu Sun",
"Qiong Yan",
"Xiaohong Liu",
"Guangtao Zhai",
"Shiqi Wang",
"Weisi Lin"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/422_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00422.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00422-supp.pdf | 10.1007/978-3-031-72646-0_21 | 2402.16641 | title_snapshot | Comparative settings (pairwise choice, listwise ranking) have been adopted by a wide range of subjective studies for image quality assessment (IQA), as it inherently standardizes the evaluation criteria across different observers and offer more clear-cut responses. In this work, we extend the edge of emerging large mul... | [
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75 | FreeInit: Bridging Initialization Gap in Video Diffusion Models | [
"Tianxing Wu",
"Chenyang Si",
"Yuming Jiang",
"Ziqi Huang",
"Ziwei Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/423_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00423.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00423-supp.pdf | 10.1007/978-3-031-72646-0_22 | 2312.07537 | title_snapshot | Though diffusion-based video generation has witnessed rapid progress, the inference results of existing models still exhibit unsatisfactory temporal consistency and unnatural dynamics. In this paper, we delve deep into the noise initialization of video diffusion models, and discover an implicit training-inference gap t... | [
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76 | DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs | [
"DongHyun Kim",
"Byeongho Heo",
"Dongyoon Han"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/430_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00430.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00430-supp.pdf | 10.1007/978-3-031-72646-0_23 | 2403.19588 | title_snapshot | This paper revives Densely Connected Convolutional Networks (DenseNets) and reveals the underrated effectiveness over predominant ResNet-style architectures. We believe DenseNets’ potential was overlooked due to untouched training methods and traditional design elements not fully revealing their capabilities. Our pilot... | [
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77 | Eliminating Feature Ambiguity for Few-Shot Segmentation | [
"Qianxiong Xu",
"Guosheng Lin",
"Chen Change Loy",
"Cheng Long",
"Ziyue Li",
"Rui Zhao"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/450_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00450.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00450-supp.pdf | 10.1007/978-3-031-72646-0_24 | 2407.09842 | title_snapshot | Recent advancements in few-shot segmentation (FSS) have exploited pixel-by-pixel matching between query and support features, typically based on cross attention, which selectively activate query foreground (FG) features that correspond to the same-class support FG features. However, due to the large receptive fields in... | [
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78 | Soft Prompt Generation for Domain Generalization | [
"Shuanghao Bai",
"Yuedi Zhang",
"Wanqi Zhou",
"Zhirong Luan",
"Badong Chen"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/454_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00454.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00454-supp.pdf | 10.1007/978-3-031-72646-0_25 | 2404.19286 | title_snapshot | Large pre-trained vision language models (VLMs) have shown impressive zero-shot ability on downstream tasks with manually designed prompt. To further adapt VLMs to downstream tasks, soft prompt is proposed to replace manually designed prompt, which undergoes fine-tuning based on specific domain data. Prior prompt learn... | [
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79 | Shedding More Light on Robust Classifiers under the lens of Energy-based Models | [
"Mujtaba Hussain Mirza",
"Maria Rosaria Briglia",
"Senad Beadini",
"Iacopo Masi"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/457_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00457.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00457-supp.pdf | 10.1007/978-3-031-72646-0_26 | 2407.06315 | title_snapshot | By reinterpreting a robust discriminative classifier as Energy-based Model (EBM), we offer a new take on the dynamics of adversarial training (AT). Our analysis of the energy landscape during AT reveals that untargeted attacks generate adversarial images much more in-distribution (lower energy) than the original data f... | [
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80 | LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation | [
"Jiaxiang Tang",
"Zhaoxi Chen",
"Xiaokang Chen",
"Tengfei Wang",
"Gang Zeng",
"Ziwei Liu"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/465_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00465.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00465-supp.pdf | 10.1007/978-3-031-73235-5_1 | 2402.05054 | title_snapshot | 3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution is constrained by the intensive computation required during training. In this paper, we introduce Large Multi-View Gaussian Model (LGM), a no... | [
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81 | Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization | [
"Qi Zhang",
"Kaiyi Zhang",
"Antoni B. Chan",
"Hui Huang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/471_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00471.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00471-supp.pdf | 10.1007/978-3-031-73235-5_2 | 2409.01726 | title_snapshot | Multi-view crowd localization predicts the ground locations of all people in the scene. Typical methods usually estimate the crowd density maps on the ground plane first, and then obtain the crowd locations. However, existing methods’ performances are limited by the ambiguity of the density maps in crowded areas, where... | [
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82 | RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images | [
"Ziteng Cui",
"Tatsuya Harada"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/484_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00484.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00484-supp.pdf | 10.1007/978-3-031-73235-5_3 | 2408.14802 | title_judge | sRGB images are now the predominant choice for pre-training visual models in computer vision research, owing to their ease of acquisition and efficient storage. Meanwhile, the advantage of RAW images lies in their rich physical information under variable real-world challenging lighting conditions. For computer vision t... | [
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83 | SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic | [
"Kashyap Chitta",
"Daniel Dauner",
"Andreas Geiger"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/490_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00490.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00490-supp.pdf | 10.1007/978-3-031-73235-5_4 | 2403.17933 | title_snapshot | SLEDGE is the first generative simulator for vehicle motion planning trained on real-world driving logs. Its core component is a learned model that is able to generate agent bounding boxes and lane graphs. The model’s outputs serve as an initial state for rule-based traffic simulation. The unique properties of the enti... | [
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84 | AFreeCA: Annotation-Free Counting for All | [
"Adriano D'Alessandro",
"Ali Mahdavi-Amiri",
"Ghassan Hamarneh"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/497_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00497.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00497-supp.pdf | 10.1007/978-3-031-73235-5_5 | 2403.04943 | title_snapshot | Object counting methods typically rely on manually annotated datasets. The cost of creating such datasets has restricted the versatility of these networks to count objects from specific classes (such as humans or penguins), and counting objects from diverse categories remains a challenge. The availability of robust tex... | [
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85 | Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap | [
"Junhao Dong",
"Piotr Koniusz",
"Junxi Chen",
"Yew-Soon Ong"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/499_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00499.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00499-supp.pdf | 10.1007/978-3-031-73235-5_6 | null | null | Adversarial robustness generally relies on large-scale architectures and datasets, hindering resource-efficient deployment. For scalable solutions, adversarially robust knowledge distillation has emerged as a principle strategy, facilitating the transfer of robustness from a large-scale teacher model to a lightweight s... | [
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86 | LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation | [
"Yushi Lan",
"Fangzhou Hong",
"Shuai Yang",
"Shangchen Zhou",
"Xuyi Meng",
"Bo Dai",
"Xingang Pan",
"Chen Change Loy"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/501_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00501.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00501-supp.pdf | 10.1007/978-3-031-73235-5_7 | 2403.12019 | title_snapshot | The field of neural rendering has witnessed significant progress with advancements in generative models and differentiable rendering techniques. Though 2D diffusion has achieved success, a unified 3D diffusion pipeline remains unsettled. This paper introduces a novel framework called to address this gap and enable fast... | [
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87 | Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion | [
"Bohan Li",
"Jiajun Deng",
"Wenyao Zhang",
"Zhujin Liang",
"Dalong Du",
"Xin Jin",
"Wenjun Zeng"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/502_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00502.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00502-supp.pdf | 10.1007/978-3-031-73235-5_8 | 2407.02077 | title_snapshot | Camera-based 3D semantic scene completion (SSC) is pivotal for predicting complicated 3D layouts with limited 2D image observations. The existing mainstream solutions generally leverage temporal information by roughly stacking history frames to supplement the current frame, such straightforward temporal modeling inevit... | [
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88 | Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration | [
"Xueyang Kang",
"Zhaoliang Luan",
"Kourosh Khoshelham",
"Bing WANG"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/521_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00521.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00521-supp.pdf | 10.1007/978-3-031-73235-5_9 | 2410.05729 | title_snapshot | Point cloud registration is a foundational task for 3D alignment and reconstruction applications. While both traditional and learning-based registration approaches have succeeded, leveraging the intrinsic symmetry of point cloud data, including rotation equivariance, has received insufficient attention. This prohibits ... | [
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89 | GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation | [
"Chenxin Li",
"Xinyu Liu",
"Cheng Wang",
"Yifan Liu",
"Weihao Yu",
"Jing Shao",
"Yixuan Yuan"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/523_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00523.pdf | null | 10.1007/978-3-031-73235-5_10 | 2407.05540 | title_snapshot | Recent advances in learning multi-modal representation have witnessed the success in biomedical domains. While established techniques enable handling multi-modal information, the challenges are posed when extended to various clinical modalities and practical modality-missing setting due to the inherent modality gaps. T... | [
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90 | PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery | [
"Fernando Julio Cendra",
"Bingchen Zhao",
"Kai Han"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/524_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00524.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00524-supp.pdf | 10.1007/978-3-031-73235-5_11 | 2407.19001 | title_judge | We tackle the problem of Continual Category Discovery (CCD), which aims to automatically discover novel categories in a continuous stream of unlabeled data while mitigating the challenge of catastrophic forgetting – an open problem that persists even in conventional, fully supervised continual learning. To address this... | [
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91 | Sapiens: Foundation for Human Vision Models | [
"Rawal Khirodkar",
"Timur Bagautdinov",
"Julieta Martinez",
"Zhaoen Su",
"Austin T James",
"Peter Selednik",
"Stuart Anderson",
"Shunsuke Saito"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/529_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00529.pdf | null | 10.1007/978-3-031-73235-5_12 | 2408.12569 | title_snapshot | We present Sapiens, a family of models for four fundamental human-centric vision tasks – 2D pose estimation, body-part segmentation, depth estimation, and surface normal prediction. Our models natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning founda... | [
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92 | Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation | [
"sehyung lee",
"Mijung Kim",
"Yeongnam Chae",
"Bjorn Stenger"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/540_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00540.pdf | null | 10.1007/978-3-031-73235-5_13 | null | null | This paper introduces an approach to linearly controllable generative adversarial networks (LC-GAN) driven by unsupervised learning. Departing from traditional methods relying on supervision signals or post-processing for latent feature disentanglement, our proposed technique enables unsupervised learning using only im... | [
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93 | Generating Human Interaction Motions in Scenes with Text Control | [
"Hongwei Yi",
"Justus Thies",
"Michael J. Black",
"Xue Bin Peng",
"Davis Rempe"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/549_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00549.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00549-supp.pdf | 10.1007/978-3-031-73235-5_14 | 2404.10685 | title_snapshot | We present , a text-controlled scene-aware motion generation method based on denoising diffusion models. Previous text-to-motion methods focus on characters in isolation without considering scenes due to the limited availability of datasets that include motion, text descriptions, and interactive scenes. Our approach be... | [
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94 | NOVUM: Neural Object Volumes for Robust Object Classification | [
"Artur Jesslen",
"Guofeng Zhang",
"Angtian Wang",
"Wufei Ma",
"Alan Yuille",
"Adam Kortylewski"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/553_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00553.pdf | null | 10.1007/978-3-031-73235-5_15 | 2305.14668 | title_snapshot | Discriminative models for object classification typically learn image-based representations that do not capture the compositional and 3D nature of objects. In this work, we show that explicitly integrating 3D compositional object representations into deep networks for image classification leads to a largely enhanced ge... | [
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95 | Align before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception | [
"Dingkang Yang",
"Dingkang Yang",
"Ke Li",
"Dongling Xiao",
"Zedian Shao",
"Peng Sun",
"Liang Song"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/560_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00560.pdf | null | 10.1007/978-3-031-73235-5_16 | null | null | Collaborative perception has received widespread attention recently since it enhances the perception ability of autonomous vehicles via inter-agent information sharing. However, the performance of existing systems is hindered by the unavoidable collaboration noises, which induce feature-level spatial misalignment over ... | [
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96 | HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects | [
"Xintao Lv",
"Liang Xu",
"Yichao Yan",
"Xin Jin",
"Congsheng Xu",
"Wu Shuwen",
"Yifan Liu",
"Lincheng Li",
"Mengxiao Bi",
"Wenjun Zeng",
"Xiaokang Yang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/564_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00564.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00564-supp.pdf | 10.1007/978-3-031-73235-5_17 | 2407.12371 | title_snapshot | Generating human-object interactions (HOIs) is critical with the tremendous advances of digital avatars. Existing datasets are typically limited to humans interacting with a single object while neglecting the ubiquitous manipulation of multiple objects. Thus, we propose HIMO, a large-scale MoCap dataset of full-body hu... | [
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97 | SAIR: Learning Semantic-aware Implicit Representation | [
"Canyu Zhang",
"Xiaoguang Li",
"Qing Guo",
"Song Wang"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/565_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00565.pdf | null | 10.1007/978-3-031-73235-5_18 | 2310.09285 | title_snapshot | Implicit representation of an image can map arbitrary coordinates in the continuous domain to their corresponding color values, presenting a powerful capability for image reconstruction. Nevertheless, existing implicit representation approaches only focus on building continuous appearance mapping, ignoring the continui... | [
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98 | ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization | [
"Yixin Yang",
"Jiangxin Dong",
"Jinhui Tang",
"Jinshan Pan"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/578_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00578.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00578-supp.pdf | 10.1007/978-3-031-73235-5_19 | 2404.06251 | title_snapshot | How to effectively explore spatial-temporal features is important for video colorization. Instead of stacking multiple frames along the temporal dimension or recurrently propagating estimated features that will accumulate errors or cannot explore information from far-apart frames, we develop a memory-based feature prop... | [
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99 | UNIC: Universal Classification Models via Multi-teacher Distillation | [
"Yannis Kalantidis",
"Diane Larlus",
"Mert Bulent Sariyildiz",
"Philippe Weinzaepfel",
"Thomas LUCAS"
] | https://www.ecva.net/papers/eccv_2024/papers_ECCV/html/581_ECCV_2024_paper.php | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00581.pdf | https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/00581-supp.pdf | 10.1007/978-3-031-73235-5_20 | 2408.05088 | title_snapshot | Pretrained models have become a commodity and offer strong results on a broad range of tasks. In this work, we focus on classification and seek to learn a unique encoder able to take from several complementary pretrained models. We aim at even stronger generalization across a variety of classification tasks. We propose... | [
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