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2,411.17265 | Systematic Reward Gap Optimization for Mitigating VLM Hallucinations | ['Lehan He', 'Zeren Chen', 'Zhelun Shi', 'Tianyu Yu', 'Jing Shao', 'Lu Sheng'] | ['cs.CL', 'cs.CV'] | The success of Direct Preference Optimization (DPO) in mitigating
hallucinations in Vision Language Models (VLMs) critically hinges on the true
reward gaps within preference pairs. However, current methods, typically
relying on ranking or rewriting strategies, often struggle to optimize these
reward gaps in a systemati... | 2024-11-26T09:42:07Z | null | null | null | null | null | null | null | null | null | null |
2,411.17386 | vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation | ['Bastian Wittmann', 'Yannick Wattenberg', 'Tamaz Amiranashvili', 'Suprosanna Shit', 'Bjoern Menze'] | ['eess.IV', 'cs.CV'] | Segmenting 3D blood vessels is a critical yet challenging task in medical
image analysis. This is due to significant imaging modality-specific variations
in artifacts, vascular patterns and scales, signal-to-noise ratios, and
background tissues. These variations, along with domain gaps arising from
varying imaging prot... | 2024-11-26T12:44:42Z | null | null | null | vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation | ['Bastian Wittmann', 'Yannick Wattenberg', 'Tamaz Amiranashvili', 'Suprosanna Shit', 'Bjoern H Menze'] | 2,024 | arXiv.org | 4 | 62 | ['Computer Science', 'Engineering'] |
2,411.17388 | Can LLMs be Good Graph Judge for Knowledge Graph Construction? | ['Haoyu Huang', 'Chong Chen', 'Zeang Sheng', 'Yang Li', 'Wentao Zhang'] | ['cs.CL', 'cs.AI'] | In real-world scenarios, most of the data obtained from the information
retrieval (IR) system is unstructured. Converting natural language sentences
into structured Knowledge Graphs (KGs) remains a critical challenge. We
identified three limitations with respect to existing KG construction methods:
(1) There could be a... | 2024-11-26T12:46:57Z | null | null | null | Can LLMs be Good Graph Judge for Knowledge Graph Construction? | ['Haoyu Huang', 'Chong Chen', 'Zeang Sheng', 'Yang Li', 'Wentao Zhang'] | 2,024 | null | 1 | 45 | ['Computer Science'] |
2,411.17423 | DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and
Expressive Characters | ['Mingze Sun', 'Junhao Chen', 'Junting Dong', 'Yurun Chen', 'Xinyu Jiang', 'Shiwei Mao', 'Puhua Jiang', 'Jingbo Wang', 'Bo Dai', 'Ruqi Huang'] | ['cs.CV'] | Recent advances in generative models have enabled high-quality 3D character
reconstruction from multi-modal. However, animating these generated characters
remains a challenging task, especially for complex elements like garments and
hair, due to the lack of large-scale datasets and effective rigging methods. To
address... | 2024-11-26T13:30:41Z | null | null | null | null | null | null | null | null | null | null |
2,411.1744 | Identity-Preserving Text-to-Video Generation by Frequency Decomposition | ['Shenghai Yuan', 'Jinfa Huang', 'Xianyi He', 'Yunyuan Ge', 'Yujun Shi', 'Liuhan Chen', 'Jiebo Luo', 'Li Yuan'] | ['cs.CV', 'cs.MM'] | Identity-preserving text-to-video (IPT2V) generation aims to create
high-fidelity videos with consistent human identity. It is an important task in
video generation but remains an open problem for generative models. This paper
pushes the technical frontier of IPT2V in two directions that have not been
resolved in liter... | 2024-11-26T13:58:24Z | CVPR 2025 | null | null | Identity-Preserving Text-to-Video Generation by Frequency Decomposition | ['Shenghai Yuan', 'Jinfa Huang', 'Xianyi He', 'Yunyuan Ge', 'Yujun Shi', 'Liuhan Chen', 'Jiebo Luo', 'Li Yuan'] | 2,024 | arXiv.org | 41 | 100 | ['Computer Science'] |
2,411.17451 | VL-RewardBench: A Challenging Benchmark for Vision-Language Generative
Reward Models | ['Lei Li', 'Yuancheng Wei', 'Zhihui Xie', 'Xuqing Yang', 'Yifan Song', 'Peiyi Wang', 'Chenxin An', 'Tianyu Liu', 'Sujian Li', 'Bill Yuchen Lin', 'Lingpeng Kong', 'Qi Liu'] | ['cs.CV', 'cs.CL'] | Vision-language generative reward models (VL-GenRMs) play a crucial role in
aligning and evaluating multimodal AI systems, yet their own evaluation remains
under-explored. Current assessment methods primarily rely on AI-annotated
preference labels from traditional VL tasks, which can introduce biases and
often fail to ... | 2024-11-26T14:08:34Z | CVPR 2025 Camera Ready Version. Project page:
https://vl-rewardbench.github.io | null | null | null | null | null | null | null | null | null |
2,411.17459 | WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent
Video Diffusion Model | ['Zongjian Li', 'Bin Lin', 'Yang Ye', 'Liuhan Chen', 'Xinhua Cheng', 'Shenghai Yuan', 'Li Yuan'] | ['cs.CV', 'cs.AI'] | Video Variational Autoencoder (VAE) encodes videos into a low-dimensional
latent space, becoming a key component of most Latent Video Diffusion Models
(LVDMs) to reduce model training costs. However, as the resolution and duration
of generated videos increase, the encoding cost of Video VAEs becomes a
limiting bottlene... | 2024-11-26T14:23:53Z | 8 pages, 7 figures | null | null | null | null | null | null | null | null | null |
2,411.17465 | ShowUI: One Vision-Language-Action Model for GUI Visual Agent | ['Kevin Qinghong Lin', 'Linjie Li', 'Difei Gao', 'Zhengyuan Yang', 'Shiwei Wu', 'Zechen Bai', 'Weixian Lei', 'Lijuan Wang', 'Mike Zheng Shou'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.HC'] | Building Graphical User Interface (GUI) assistants holds significant promise
for enhancing human workflow productivity. While most agents are
language-based, relying on closed-source API with text-rich meta-information
(e.g., HTML or accessibility tree), they show limitations in perceiving UI
visuals as humans do, high... | 2024-11-26T14:29:47Z | Technical Report. Github: https://github.com/showlab/ShowUI | null | null | null | null | null | null | null | null | null |
2,411.17616 | Towards Stabilized and Efficient Diffusion Transformers through
Long-Skip-Connections with Spectral Constraints | ['Guanjie Chen', 'Xinyu Zhao', 'Yucheng Zhou', 'Xiaoye Qu', 'Tianlong Chen', 'Yu Cheng'] | ['cs.CV'] | Diffusion Transformers (DiT) have emerged as a powerful architecture for
image and video generation, offering superior quality and scalability. However,
their practical application suffers from inherent dynamic feature instability,
leading to error amplification during cached inference. Through systematic
analysis, we ... | 2024-11-26T17:28:10Z | 17 pages, 8 figures | null | null | null | null | null | null | null | null | null |
2,411.17679 | Enhancing Character-Level Understanding in LLMs through Token Internal
Structure Learning | ['Zhu Xu', 'Zhiqiang Zhao', 'Zihan Zhang', 'Yuchi Liu', 'Quanwei Shen', 'Fei Liu', 'Yu Kuang', 'Jian He', 'Conglin Liu'] | ['cs.CL'] | Tokenization methods like Byte-Pair Encoding (BPE) enhance computational
efficiency in large language models (LLMs) but often obscure internal character
structures within tokens. This limitation hinders LLMs' ability to predict
precise character positions, which is crucial in tasks like Chinese Spelling
Correction (CSC... | 2024-11-26T18:44:39Z | ACL 2025 Main | null | null | null | null | null | null | null | null | null |
2,411.17697 | StableAnimator: High-Quality Identity-Preserving Human Image Animation | ['Shuyuan Tu', 'Zhen Xing', 'Xintong Han', 'Zhi-Qi Cheng', 'Qi Dai', 'Chong Luo', 'Zuxuan Wu'] | ['cs.CV', 'cs.AI'] | Current diffusion models for human image animation struggle to ensure
identity (ID) consistency. This paper presents StableAnimator, the first
end-to-end ID-preserving video diffusion framework, which synthesizes
high-quality videos without any post-processing, conditioned on a reference
image and a sequence of poses. ... | 2024-11-26T18:59:22Z | null | null | null | StableAnimator: High-Quality Identity-Preserving Human Image Animation | ['Shuyuan Tu', 'Zhen Xing', 'Xintong Han', 'Zhi-Qi Cheng', 'Qi Dai', 'Chong Luo', 'Zuxuan Wu'] | 2,024 | arXiv.org | 23 | 67 | ['Computer Science'] |
2,411.17787 | Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient | ['Zigeng Chen', 'Xinyin Ma', 'Gongfan Fang', 'Xinchao Wang'] | ['cs.CV'] | In the rapidly advancing field of image generation, Visual Auto-Regressive
(VAR) modeling has garnered considerable attention for its innovative
next-scale prediction approach. This paradigm offers substantial improvements
in efficiency, scalability, and zero-shot generalization. Yet, the inherently
coarse-to-fine natu... | 2024-11-26T15:13:15Z | Working in progress. Code repository: https://github.com/czg1225/CoDe | null | null | Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient | ['Zigeng Chen', 'Xinyin Ma', 'Gongfan Fang', 'Xinchao Wang'] | 2,024 | arXiv.org | 8 | 74 | ['Computer Science'] |
2,411.17835 | Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and
Markdown Extraction | ['Mohamed Rashad'] | ['cs.CL', 'cs.AI', 'cs.CV'] | We present Arabic-Nougat, a suite of OCR models for converting Arabic book
pages into structured Markdown text. Based on Meta's Nougat architecture,
Arabic-Nougat includes three specialized models: arabic-small-nougat,
arabic-base-nougat, and arabic-large-nougat. These models are fine-tuned on a
synthetic dataset, arab... | 2024-11-19T12:09:12Z | 7 pages, 1 figure | null | null | null | null | null | null | null | null | null |
2,411.17991 | VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video
Comprehension with Video-Text Duet Interaction Format | ['Yueqian Wang', 'Xiaojun Meng', 'Yuxuan Wang', 'Jianxin Liang', 'Jiansheng Wei', 'Huishuai Zhang', 'Dongyan Zhao'] | ['cs.CV', 'cs.CL'] | Recent researches on video large language models (VideoLLM) predominantly
focus on model architectures and training datasets, leaving the interaction
format between the user and the model under-explored. In existing works, users
often interact with VideoLLMs by using the entire video and a query as input,
after which t... | 2024-11-27T02:15:34Z | 9 pages | null | null | null | null | null | null | null | null | null |
2,411.18197 | Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready
3D Characters | ['Zhiyang Guo', 'Jinxu Xiang', 'Kai Ma', 'Wengang Zhou', 'Houqiang Li', 'Ran Zhang'] | ['cs.GR', 'cs.CV'] | 3D characters are essential to modern creative industries, but making them
animatable often demands extensive manual work in tasks like rigging and
skinning. Existing automatic rigging tools face several limitations, including
the necessity for manual annotations, rigid skeleton topologies, and limited
generalization a... | 2024-11-27T10:18:06Z | CVPR 2025. Project page:
https://jasongzy.github.io/Make-It-Animatable/ | null | null | Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters | ['Zhiyang Guo', 'Jinxu Xiang', 'Kai Ma', 'Weng Zhou', 'Houqiang Li', 'Ran Zhang'] | 2,024 | arXiv.org | 3 | 54 | ['Computer Science'] |
2,411.18203 | Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning | ['Di Zhang', 'Junxian Li', 'Jingdi Lei', 'Xunzhi Wang', 'Yujie Liu', 'Zonglin Yang', 'Jiatong Li', 'Weida Wang', 'Suorong Yang', 'Jianbo Wu', 'Peng Ye', 'Wanli Ouyang', 'Dongzhan Zhou'] | ['cs.CV', 'cs.CL'] | Vision-language models (VLMs) have shown remarkable advancements in
multimodal reasoning tasks. However, they still often generate inaccurate or
irrelevant responses due to issues like hallucinated image understandings or
unrefined reasoning paths. To address these challenges, we introduce Critic-V,
a novel framework i... | 2024-11-27T10:28:57Z | 16 pages, 11 figures | null | null | null | null | null | null | null | null | null |
2,411.1835 | TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction
using Diffusion Models | ['Riza Velioglu', 'Petra Bevandic', 'Robin Chan', 'Barbara Hammer'] | ['cs.CV', 'cs.AI'] | This paper introduces Virtual Try-Off (VTOFF), a novel task focused on
generating standardized garment images from single photos of clothed
individuals. Unlike traditional Virtual Try-On (VTON), which digitally dresses
models, VTOFF aims to extract a canonical garment image, posing unique
challenges in capturing garmen... | 2024-11-27T13:53:09Z | null | null | null | null | null | null | null | null | null | null |
2,411.18363 | ChatRex: Taming Multimodal LLM for Joint Perception and Understanding | ['Qing Jiang', 'Gen Luo', 'Yuqin Yang', 'Yuda Xiong', 'Yihao Chen', 'Zhaoyang Zeng', 'Tianhe Ren', 'Lei Zhang'] | ['cs.CV'] | Perception and understanding are two pillars of computer vision. While
multimodal large language models (MLLM) have demonstrated remarkable visual
understanding capabilities, they arguably lack accurate perception abilities,
e.g. the stage-of-the-art model Qwen2-VL only achieves a 43.9 recall rate on
the COCO dataset, ... | 2024-11-27T14:11:10Z | 35 pages, 19 figures | null | null | null | null | null | null | null | null | null |
2,411.18369 | G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable
Object Manipulation | ['Tianxing Chen', 'Yao Mu', 'Zhixuan Liang', 'Zanxin Chen', 'Shijia Peng', 'Qiangyu Chen', 'Mingkun Xu', 'Ruizhen Hu', 'Hongyuan Zhang', 'Xuelong Li', 'Ping Luo'] | ['cs.RO', 'cs.AI', 'cs.CV', 'cs.SY', 'eess.SY'] | Recent advances in imitation learning for 3D robotic manipulation have shown
promising results with diffusion-based policies. However, achieving human-level
dexterity requires seamless integration of geometric precision and semantic
understanding. We present G3Flow, a novel framework that constructs real-time
semantic ... | 2024-11-27T14:17:43Z | Webpage: https://tianxingchen.github.io/G3Flow/, accepted to CVPR
2025 | null | null | null | null | null | null | null | null | null |
2,411.18462 | Draft Model Knows When to Stop: A Self-Verification Length Policy for
Speculative Decoding | ['Ziyin Zhang', 'Jiahao Xu', 'Tian Liang', 'Xingyu Chen', 'Zhiwei He', 'Rui Wang', 'Zhaopeng Tu'] | ['cs.CL', 'cs.AI'] | Speculative Decoding (SD) has become an important technique in accelerating
the inference speed of large language models. Conventional SD methods employ a
fixed draft length, which ignores the token generation difficulty across tasks.
Consequently, in this paper, we address such an issue and introduce SVIP - a
difficul... | 2024-11-27T15:53:17Z | Code at https://github.com/Geralt-Targaryen/SVIP | null | null | null | null | null | null | null | null | null |
2,411.18499 | OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved
Image-Text Generation | ['Pengfei Zhou', 'Xiaopeng Peng', 'Jiajun Song', 'Chuanhao Li', 'Zhaopan Xu', 'Yue Yang', 'Ziyao Guo', 'Hao Zhang', 'Yuqi Lin', 'Yefei He', 'Lirui Zhao', 'Shuo Liu', 'Tianhua Li', 'Yuxuan Xie', 'Xiaojun Chang', 'Yu Qiao', 'Wenqi Shao', 'Kaipeng Zhang'] | ['cs.CV'] | Multimodal Large Language Models (MLLMs) have made significant strides in
visual understanding and generation tasks. However, generating interleaved
image-text content remains a challenge, which requires integrated multimodal
understanding and generation abilities. While the progress in unified models
offers new soluti... | 2024-11-27T16:39:04Z | 53 pages, 19 figures, accepted by CVPR 2025 | null | null | null | null | null | null | null | null | null |
2,411.18616 | Diffusion Self-Distillation for Zero-Shot Customized Image Generation | ['Shengqu Cai', 'Eric Chan', 'Yunzhi Zhang', 'Leonidas Guibas', 'Jiajun Wu', 'Gordon Wetzstein'] | ['cs.CV', 'cs.AI', 'cs.GR', 'cs.LG'] | Text-to-image diffusion models produce impressive results but are frustrating
tools for artists who desire fine-grained control. For example, a common use
case is to create images of a specific instance in novel contexts, i.e.,
"identity-preserving generation". This setting, along with many other tasks
(e.g., relightin... | 2024-11-27T18:58:52Z | Project page: https://primecai.github.io/dsd/ | null | null | Diffusion Self-Distillation for Zero-Shot Customized Image Generation | ['Shengqu Cai', 'E. Chan', 'Yunzhi Zhang', 'Leonidas J. Guibas', 'Jiajun Wu', 'Gordon Wetzstein'] | 2,024 | arXiv.org | 13 | 45 | ['Computer Science'] |
2,411.18623 | Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for
Robust 3D Robotic Manipulation | ['Yueru Jia', 'Jiaming Liu', 'Sixiang Chen', 'Chenyang Gu', 'Zhilue Wang', 'Longzan Luo', 'Lily Lee', 'Pengwei Wang', 'Zhongyuan Wang', 'Renrui Zhang', 'Shanghang Zhang'] | ['cs.CV'] | 3D geometric information is essential for manipulation tasks, as robots need
to perceive the 3D environment, reason about spatial relationships, and
interact with intricate spatial configurations. Recent research has
increasingly focused on the explicit extraction of 3D features, while still
facing challenges such as t... | 2024-11-27T18:59:52Z | null | null | null | null | null | null | null | null | null | null |
2,411.18665 | SpotLight: Shadow-Guided Object Relighting via Diffusion | ['Frédéric Fortier-Chouinard', 'Zitian Zhang', 'Louis-Etienne Messier', 'Mathieu Garon', 'Anand Bhattad', 'Jean-François Lalonde'] | ['cs.CV', 'cs.GR'] | Recent work has shown that diffusion models can serve as powerful neural
rendering engines that can be leveraged for inserting virtual objects into
images. However, unlike typical physics-based renderers, these neural rendering
engines are limited by the lack of manual control over the lighting, which is
often essentia... | 2024-11-27T16:06:08Z | Project page: https://lvsn.github.io/spotlight | null | null | null | null | null | null | null | null | null |
2,411.18933 | Efficient Track Anything | ['Yunyang Xiong', 'Chong Zhou', 'Xiaoyu Xiang', 'Lemeng Wu', 'Chenchen Zhu', 'Zechun Liu', 'Saksham Suri', 'Balakrishnan Varadarajan', 'Ramya Akula', 'Forrest Iandola', 'Raghuraman Krishnamoorthi', 'Bilge Soran', 'Vikas Chandra'] | ['cs.CV'] | Segment Anything Model 2 (SAM 2) has emerged as a powerful tool for video
object segmentation and tracking anything. Key components of SAM 2 that drive
the impressive video object segmentation performance include a large multistage
image encoder for frame feature extraction and a memory mechanism that stores
memory con... | 2024-11-28T05:52:10Z | null | null | null | null | null | null | null | null | null | null |
2,411.18941 | Revealing Key Details to See Differences: A Novel Prototypical
Perspective for Skeleton-based Action Recognition | ['Hongda Liu', 'Yunfan Liu', 'Min Ren', 'Hao Wang', 'Yunlong Wang', 'Zhenan Sun'] | ['cs.CV'] | In skeleton-based action recognition, a key challenge is distinguishing
between actions with similar trajectories of joints due to the lack of
image-level details in skeletal representations. Recognizing that the
differentiation of similar actions relies on subtle motion details in specific
body parts, we direct our ap... | 2024-11-28T06:18:31Z | Accepted by CVPR 2025 | null | null | null | null | null | null | null | null | null |
2,411.19103 | VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models | ['Jeongho Ju', 'Daeyoung Kim', 'SunYoung Park', 'Youngjune Kim'] | ['cs.CV', 'cs.CL'] | In this paper, we introduce an open-source Korean-English vision-language
model (VLM), VARCO-VISION. We incorporate a step-by-step training strategy that
allows a model learn both linguistic and visual information while preserving
the backbone model's knowledge. Our model demonstrates outstanding performance
in diverse... | 2024-11-28T12:38:42Z | 24 pages, 15 figures, 4 tables. Model weights at
https://huggingface.co/NCSOFT/VARCO-VISION-14B. Benchmarks released at
NCSOFT's HuggingFace repositories (K-MMBench, K-SEED, K-MMStar, K-DTCBench,
K-LLaVA-W). VARCO-VISION is an open-source Korean-English VLM with OCR,
grounding, and referring capabilities | null | null | null | null | null | null | null | null | null |
2,411.19146 | Puzzle: Distillation-Based NAS for Inference-Optimized LLMs | ['Akhiad Bercovich', 'Tomer Ronen', 'Talor Abramovich', 'Nir Ailon', 'Nave Assaf', 'Mohammad Dabbah', 'Ido Galil', 'Amnon Geifman', 'Yonatan Geifman', 'Izhak Golan', 'Netanel Haber', 'Ehud Karpas', 'Roi Koren', 'Itay Levy', 'Pavlo Molchanov', 'Shahar Mor', 'Zach Moshe', 'Najeeb Nabwani', 'Omri Puny', 'Ran Rubin', 'Itam... | ['cs.LG'] | Large language models (LLMs) offer remarkable capabilities, yet their high
inference costs restrict wider adoption. While increasing parameter counts
improves accuracy, it also broadens the gap between state-of-the-art
capabilities and practical deployability. We present Puzzle, a hardware-aware
framework that accelera... | 2024-11-28T13:45:42Z | null | null | null | Puzzle: Distillation-Based NAS for Inference-Optimized LLMs | ['A. Bercovich', 'Tomer Ronen', 'Talor Abramovich', 'Nir Ailon', 'Nave Assaf', 'Mohammad Dabbah', 'Ido Galil', 'Amnon Geifman', 'Yonatan Geifman', 'I. Golan', 'Netanel Haber', 'Ehud Karpas', 'Roi Koren', 'Itay Levy', 'Pavlo Molchanov', 'Shahar Mor', 'Zach Moshe', 'Najeeb Nabwani', 'Omri Puny', 'Ran Rubin', 'Itamar Sche... | 2,024 | arXiv.org | 4 | 65 | ['Computer Science'] |
2,411.19189 | Video Depth without Video Models | ['Bingxin Ke', 'Dominik Narnhofer', 'Shengyu Huang', 'Lei Ke', 'Torben Peters', 'Katerina Fragkiadaki', 'Anton Obukhov', 'Konrad Schindler'] | ['cs.CV'] | Video depth estimation lifts monocular video clips to 3D by inferring dense
depth at every frame. Recent advances in single-image depth estimation, brought
about by the rise of large foundation models and the use of synthetic training
data, have fueled a renewed interest in video depth. However, naively applying
a sing... | 2024-11-28T14:50:14Z | Project page: rollingdepth.github.io | null | null | null | null | null | null | null | null | null |
2,411.19309 | GRAPE: Generalizing Robot Policy via Preference Alignment | ['Zijian Zhang', 'Kaiyuan Zheng', 'Zhaorun Chen', 'Joel Jang', 'Yi Li', 'Siwei Han', 'Chaoqi Wang', 'Mingyu Ding', 'Dieter Fox', 'Huaxiu Yao'] | ['cs.RO', 'cs.CV', 'cs.LG'] | Despite the recent advancements of vision-language-action (VLA) models on a
variety of robotics tasks, they suffer from critical issues such as poor
generalizability to unseen tasks, due to their reliance on behavior cloning
exclusively from successful rollouts. Furthermore, they are typically
fine-tuned to replicate d... | 2024-11-28T18:30:10Z | Website: https://grape-vla.github.io/ | null | null | null | null | null | null | null | null | null |
2,411.19378 | Libra: Leveraging Temporal Images for Biomedical Radiology Analysis | ['Xi Zhang', 'Zaiqiao Meng', 'Jake Lever', 'Edmond S. L. Ho'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG', 'I.2.10; J.3; I.5.4'] | Radiology report generation (RRG) requires advanced medical image analysis,
effective temporal reasoning, and accurate text generation. While multimodal
large language models (MLLMs) align with pre-trained vision encoders to enhance
visual-language understanding, most existing methods rely on single-image
analysis or r... | 2024-11-28T21:07:22Z | 30 pages, 5 figures, Adding Appendix | null | null | null | null | null | null | null | null | null |
2,411.19443 | Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language
Models | ['Tian Yu', 'Shaolei Zhang', 'Yang Feng'] | ['cs.CL'] | Iterative retrieval refers to the process in which the model continuously
queries the retriever during generation to enhance the relevance of the
retrieved knowledge, thereby improving the performance of Retrieval-Augmented
Generation (RAG). Existing work typically employs few-shot prompting or
manually constructed rul... | 2024-11-29T03:01:05Z | Code is available at https://github.com/ictnlp/Auto-RAG | null | null | null | null | null | null | null | null | null |
2,411.19458 | Multiview Equivariance Improves 3D Correspondence Understanding with
Minimal Feature Finetuning | ['Yang You', 'Yixin Li', 'Congyue Deng', 'Yue Wang', 'Leonidas Guibas'] | ['cs.CV'] | Vision foundation models, particularly the ViT family, have revolutionized
image understanding by providing rich semantic features. However, despite their
success in 2D comprehension, their abilities on grasping 3D spatial
relationships are still unclear. In this work, we evaluate and enhance the 3D
awareness of ViT-ba... | 2024-11-29T04:02:11Z | 10 pages; Accepted to ICLR 2025 | null | null | Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning | ['Yang You', 'Yixin Li', 'Congyue Deng', 'Yue Wang', 'Leonidas J. Guibas'] | 2,024 | arXiv.org | 2 | 52 | ['Computer Science'] |
2,411.19509 | Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head
Synthesis | ['Tianqi Li', 'Ruobing Zheng', 'Minghui Yang', 'Jingdong Chen', 'Ming Yang'] | ['cs.CV', 'cs.LG', 'cs.SD', 'eess.AS'] | Recent advances in diffusion models have endowed talking head synthesis with
subtle expressions and vivid head movements, but have also led to slow
inference speed and insufficient control over generated results. To address
these issues, we propose Ditto, a diffusion-based talking head framework that
enables fine-grain... | 2024-11-29T07:01:31Z | Project Page: https://digital-avatar.github.io/ai/Ditto/ | null | null | Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head Synthesis | ['Tianqi Li', 'Ruobing Zheng', 'Ming Yang', 'Jingdong Chen', 'Ming Yang'] | 2,024 | arXiv.org | 6 | 48 | ['Computer Science', 'Engineering'] |
2,411.1965 | CogACT: A Foundational Vision-Language-Action Model for Synergizing
Cognition and Action in Robotic Manipulation | ['Qixiu Li', 'Yaobo Liang', 'Zeyu Wang', 'Lin Luo', 'Xi Chen', 'Mozheng Liao', 'Fangyun Wei', 'Yu Deng', 'Sicheng Xu', 'Yizhong Zhang', 'Xiaofan Wang', 'Bei Liu', 'Jianlong Fu', 'Jianmin Bao', 'Dong Chen', 'Yuanchun Shi', 'Jiaolong Yang', 'Baining Guo'] | ['cs.RO', 'cs.AI', 'cs.CL', 'cs.CV', 'cs.LG'] | The advancement of large Vision-Language-Action (VLA) models has
significantly improved robotic manipulation in terms of language-guided task
execution and generalization to unseen scenarios. While existing VLAs adapted
from pretrained large Vision-Language-Models (VLM) have demonstrated promising
generalizability, the... | 2024-11-29T12:06:03Z | Project Webpage: https://cogact.github.io/ | null | null | CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation | ['Qixiu Li', 'Yaobo Liang', 'Zeyu Wang', 'Lin Luo', 'Xi Chen', 'M. Liao', 'Fangyun Wei', 'Yu Deng', 'Sicheng Xu', 'Yizhong Zhang', 'Xiaofan Wang', 'Bei Liu', 'Jianlong Fu', 'Jianmin Bao', 'Dong Chen', 'Yuanchun Shi', 'Jiaolong Yang', 'Baining Guo'] | 2,024 | arXiv.org | 44 | 67 | ['Computer Science'] |
2,411.19654 | TexGaussian: Generating High-quality PBR Material via Octree-based 3D
Gaussian Splatting | ['Bojun Xiong', 'Jialun Liu', 'Jiakui Hu', 'Chenming Wu', 'Jinbo Wu', 'Xing Liu', 'Chen Zhao', 'Errui Ding', 'Zhouhui Lian'] | ['cs.CV', 'cs.GR'] | Physically Based Rendering (PBR) materials play a crucial role in modern
graphics, enabling photorealistic rendering across diverse environment maps.
Developing an effective and efficient algorithm that is capable of
automatically generating high-quality PBR materials rather than RGB texture for
3D meshes can significa... | 2024-11-29T12:19:39Z | CVPR 2025. Project Page: https://3d-aigc.github.io/TexGaussian | null | null | null | null | null | null | null | null | null |
2,411.19666 | Multimodal Whole Slide Foundation Model for Pathology | ['Tong Ding', 'Sophia J. Wagner', 'Andrew H. Song', 'Richard J. Chen', 'Ming Y. Lu', 'Andrew Zhang', 'Anurag J. Vaidya', 'Guillaume Jaume', 'Muhammad Shaban', 'Ahrong Kim', 'Drew F. K. Williamson', 'Bowen Chen', 'Cristina Almagro-Perez', 'Paul Doucet', 'Sharifa Sahai', 'Chengkuan Chen', 'Daisuke Komura', 'Akihiro Kawab... | ['eess.IV', 'cs.AI', 'cs.CV', 'cs.LG', 'stat.AP'] | The field of computational pathology has been transformed with recent
advances in foundation models that encode histopathology region-of-interests
(ROIs) into versatile and transferable feature representations via
self-supervised learning (SSL). However, translating these advancements to
address complex clinical challe... | 2024-11-29T12:39:57Z | The code is accessible at https://github.com/mahmoodlab/TITAN | null | null | Multimodal Whole Slide Foundation Model for Pathology | ['Tong Ding', 'Sophia J. Wagner', 'Andrew H. Song', 'Richard J. Chen', 'Ming Y. Lu', 'Andrew Zhang', 'Anurag Vaidya', 'Guillaume Jaume', 'Muhammad Shaban', 'Ahrong Kim', 'Drew F. K. Williamson', 'Bowen Chen', 'Cristina Almagro-Perez', 'Paul Doucet', 'S. Sahai', 'Chengkuan Chen', 'D. Komura', 'Akihiro Kawabe', 'Shumpei ... | 2,024 | arXiv.org | 30 | 0 | ['Computer Science', 'Engineering', 'Mathematics'] |
2,411.19799 | INCLUDE: Evaluating Multilingual Language Understanding with Regional
Knowledge | ['Angelika Romanou', 'Negar Foroutan', 'Anna Sotnikova', 'Zeming Chen', 'Sree Harsha Nelaturu', 'Shivalika Singh', 'Rishabh Maheshwary', 'Micol Altomare', 'Mohamed A. Haggag', 'Snegha A', 'Alfonso Amayuelas', 'Azril Hafizi Amirudin', 'Viraat Aryabumi', 'Danylo Boiko', 'Michael Chang', 'Jenny Chim', 'Gal Cohen', 'Aditya... | ['cs.CL'] | The performance differential of large language models (LLM) between languages
hinders their effective deployment in many regions, inhibiting the potential
economic and societal value of generative AI tools in many communities.
However, the development of functional LLMs in many languages (\ie,
multilingual LLMs) is bot... | 2024-11-29T16:03:14Z | null | null | null | null | null | null | null | null | null | null |
2,411.19824 | SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive
Tokens | ['Chi Su', 'Xiaoxuan Ma', 'Jiajun Su', 'Yizhou Wang'] | ['cs.CV'] | We propose a one-stage framework for real-time multi-person 3D human mesh
estimation from a single RGB image. While current one-stage methods, which
follow a DETR-style pipeline, achieve state-of-the-art (SOTA) performance with
high-resolution inputs, we observe that this particularly benefits the
estimation of individ... | 2024-11-29T16:34:46Z | 18 pages, 12 figures | null | null | SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens | ['Chi Su', 'Xiaoxuan Ma', 'Jiajun Su', 'Yizhou Wang'] | 2,024 | arXiv.org | 0 | 61 | ['Computer Science'] |
2,411.19832 | Sensitive Content Classification in Social Media: A Holistic Resource
and Evaluation | ['Dimosthenis Antypas', 'Indira Sen', 'Carla Perez-Almendros', 'Jose Camacho-Collados', 'Francesco Barbieri'] | ['cs.CL', 'I.2.7'] | The detection of sensitive content in large datasets is crucial for ensuring
that shared and analysed data is free from harmful material. However, current
moderation tools, such as external APIs, suffer from limitations in
customisation, accuracy across diverse sensitive categories, and privacy
concerns. Additionally, ... | 2024-11-29T16:44:02Z | Accepted at the 9th Workshop on Online Abuse and Harms (WOAH) | null | null | Sensitive Content Classification in Social Media: A Holistic Resource and Evaluation | ['Dimosthenis Antypas', 'Indira Sen', 'Carla Pérez-Almendros', 'J. Camacho-Collados', 'Francesco Barbieri'] | 2,024 | arXiv.org | 1 | 70 | ['Computer Science'] |
2,411.19842 | Scaling Transformers for Low-Bitrate High-Quality Speech Coding | ['Julian D Parker', 'Anton Smirnov', 'Jordi Pons', 'CJ Carr', 'Zack Zukowski', 'Zach Evans', 'Xubo Liu'] | ['eess.AS', 'cs.AI', 'cs.LG', 'cs.SD', 'eess.SP'] | The tokenization of speech with neural audio codec models is a vital part of
modern AI pipelines for the generation or understanding of speech, alone or in
a multimodal context. Traditionally such tokenization models have concentrated
on low parameter-count architectures using only components with strong
inductive bias... | 2024-11-29T16:58:02Z | null | null | null | Scaling Transformers for Low-Bitrate High-Quality Speech Coding | ['Julian Parker', 'Anton Smirnov', 'Jordi Pons', 'CJ Carr', 'Zack Zukowski', 'Zach Evans', 'Xubo Liu'] | 2,024 | arXiv.org | 16 | 55 | ['Computer Science', 'Engineering'] |
2,411.1993 | On Domain-Adaptive Post-Training for Multimodal Large Language Models | ['Daixuan Cheng', 'Shaohan Huang', 'Ziyu Zhu', 'Xintong Zhang', 'Wayne Xin Zhao', 'Zhongzhi Luan', 'Bo Dai', 'Zhenliang Zhang'] | ['cs.CL', 'cs.CV', 'cs.LG'] | Adapting general multimodal large language models (MLLMs) to specific
domains, such as scientific and industrial fields, is highly significant in
promoting their practical applications. This paper systematically investigates
domain adaptation of MLLMs via post-training, focusing on data synthesis,
training pipeline, an... | 2024-11-29T18:42:28Z | https://huggingface.co/AdaptLLM | null | null | On Domain-Adaptive Post-Training for Multimodal Large Language Models | ['Daixuan Cheng', 'Shaohan Huang', 'Ziyu Zhu', 'Xintong Zhang', 'Wayne Xin Zhao', 'Zhongzhi Luan', 'Bo Dai', 'Zhenliang Zhang'] | 2,024 | null | 5 | 53 | ['Computer Science'] |
2,411.19939 | VLSBench: Unveiling Visual Leakage in Multimodal Safety | ['Xuhao Hu', 'Dongrui Liu', 'Hao Li', 'Xuanjing Huang', 'Jing Shao'] | ['cs.CR', 'cs.AI', 'cs.CL', 'cs.CV'] | Safety concerns of Multimodal large language models (MLLMs) have gradually
become an important problem in various applications. Surprisingly, previous
works indicate a counterintuitive phenomenon that using textual unlearning to
align MLLMs achieves comparable safety performances with MLLMs aligned with
image text pair... | 2024-11-29T18:56:37Z | ACL2025 Main | null | null | VLSBench: Unveiling Visual Leakage in Multimodal Safety | ['Xuhao Hu', 'Dongrui Liu', 'Hao Li', 'Xuanjing Huang', 'Jing Shao'] | 2,024 | arXiv.org | 19 | 56 | ['Computer Science'] |
2,411.19951 | Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation | ['Shukang Yin', 'Chaoyou Fu', 'Sirui Zhao', 'Yunhang Shen', 'Chunjiang Ge', 'Yan Yang', 'Zuwei Long', 'Yuhan Dai', 'Yongdong Luo', 'Haoyu Cao', 'Tong Xu', 'Xing Sun', 'Caifeng Shan', 'Ran He', 'Enhong Chen'] | ['cs.CV', 'cs.CL', 'cs.LG'] | Recent years have witnessed the success of Multimodal Large Language Models
(MLLMs) in the vision understanding domain. The success of these models can
largely be attributed to the dominant scaling law, which states that larger
parameter sizes and data volumes contribute to better performance. Notably,
data scaling has... | 2024-11-29T18:59:54Z | Project page: https://github.com/VITA-MLLM/Sparrow | null | null | null | null | null | null | null | null | null |
2,412.00064 | DiffGuard: Text-Based Safety Checker for Diffusion Models | ['Massine El Khader', 'Elias Al Bouzidi', 'Abdellah Oumida', 'Mohammed Sbaihi', 'Eliott Binard', 'Jean-Philippe Poli', 'Wassila Ouerdane', 'Boussad Addad', 'Katarzyna Kapusta'] | ['cs.CV', 'cs.AI'] | Recent advances in Diffusion Models have enabled the generation of images
from text, with powerful closed-source models like DALL-E and Midjourney
leading the way. However, open-source alternatives, such as StabilityAI's
Stable Diffusion, offer comparable capabilities. These open-source models,
hosted on Hugging Face, ... | 2024-11-25T21:47:02Z | null | null | null | null | null | null | null | null | null | null |
2,412.00127 | Orthus: Autoregressive Interleaved Image-Text Generation with
Modality-Specific Heads | ['Siqi Kou', 'Jiachun Jin', 'Zhihong Liu', 'Chang Liu', 'Ye Ma', 'Jian Jia', 'Quan Chen', 'Peng Jiang', 'Zhijie Deng'] | ['cs.CV', 'cs.AI', 'cs.CL'] | We introduce Orthus, an autoregressive (AR) transformer that excels in
generating images given textual prompts, answering questions based on visual
inputs, and even crafting lengthy image-text interleaved contents. Unlike prior
arts on unified multimodal modeling, Orthus simultaneously copes with discrete
text tokens a... | 2024-11-28T13:00:38Z | null | null | null | null | null | null | null | null | null | null |
2,412.00131 | Open-Sora Plan: Open-Source Large Video Generation Model | ['Bin Lin', 'Yunyang Ge', 'Xinhua Cheng', 'Zongjian Li', 'Bin Zhu', 'Shaodong Wang', 'Xianyi He', 'Yang Ye', 'Shenghai Yuan', 'Liuhan Chen', 'Tanghui Jia', 'Junwu Zhang', 'Zhenyu Tang', 'Yatian Pang', 'Bin She', 'Cen Yan', 'Zhiheng Hu', 'Xiaoyi Dong', 'Lin Chen', 'Zhang Pan', 'Xing Zhou', 'Shaoling Dong', 'Yonghong Tia... | ['cs.CV', 'cs.AI'] | We introduce Open-Sora Plan, an open-source project that aims to contribute a
large generation model for generating desired high-resolution videos with long
durations based on various user inputs. Our project comprises multiple
components for the entire video generation process, including a Wavelet-Flow
Variational Aut... | 2024-11-28T14:07:45Z | v1.3 | null | null | null | null | null | null | null | null | null |
2,412.00176 | Opt-In Art: Learning Art Styles Only from Few Examples | ['Hui Ren', 'Joanna Materzynska', 'Rohit Gandikota', 'David Bau', 'Antonio Torralba'] | ['cs.CV'] | We explore whether pre-training on datasets with paintings is necessary for a
model to learn an artistic style with only a few examples. To investigate this,
we train a text-to-image model exclusively on photographs, without access to
any painting-related content. We show that it is possible to adapt a model that
is tr... | 2024-11-29T18:59:01Z | null | null | null | null | null | null | null | null | null | null |
2,412.00624 | VideoSAVi: Self-Aligned Video Language Models without Human Supervision | ['Yogesh Kulkarni', 'Pooyan Fazli'] | ['cs.CV'] | Recent advances in video-large language models (Video-LLMs) have led to
significant progress in video understanding. Current preference optimization
methods often rely on proprietary APIs or ground-truth captions to generate
preference data (i.e., pairs of model outputs ranked based on their quality or
alignment with h... | 2024-12-01T00:33:05Z | null | null | null | VideoSAVi: Self-Aligned Video Language Models without Human Supervision | ['Yogesh Kulkarni', 'Pooyan Fazli'] | 2,024 | arXiv.org | 2 | 96 | ['Computer Science'] |
2,412.00733 | Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video
Diffusion Transformer | ['Jiahao Cui', 'Hui Li', 'Yun Zhan', 'Hanlin Shang', 'Kaihui Cheng', 'Yuqi Ma', 'Shan Mu', 'Hang Zhou', 'Jingdong Wang', 'Siyu Zhu'] | ['cs.CV', 'cs.GR', 'cs.LG'] | Existing methodologies for animating portrait images face significant
challenges, particularly in handling non-frontal perspectives, rendering
dynamic objects around the portrait, and generating immersive, realistic
backgrounds. In this paper, we introduce the first application of a pretrained
transformer-based video g... | 2024-12-01T08:54:30Z | null | null | null | null | null | null | null | null | null | null |
2,412.00927 | VISTA: Enhancing Long-Duration and High-Resolution Video Understanding
by Video Spatiotemporal Augmentation | ['Weiming Ren', 'Huan Yang', 'Jie Min', 'Cong Wei', 'Wenhu Chen'] | ['cs.CV'] | Current large multimodal models (LMMs) face significant challenges in
processing and comprehending long-duration or high-resolution videos, which is
mainly due to the lack of high-quality datasets. To address this issue from a
data-centric perspective, we propose VISTA, a simple yet effective Video
Spatiotemporal Augme... | 2024-12-01T18:27:28Z | Project Page: https://tiger-ai-lab.github.io/VISTA/ | null | null | VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation | ['Weiming Ren', 'Huan Yang', 'Jie Min', 'Cong Wei', 'Wenhu Chen'] | 2,024 | arXiv.org | 4 | 0 | ['Computer Science'] |
2,412.01007 | CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and
Reranking | ['Tarun Suresh', 'Revanth Gangi Reddy', 'Yifei Xu', 'Zach Nussbaum', 'Andriy Mulyar', 'Brandon Duderstadt', 'Heng Ji'] | ['cs.CL', 'cs.IR'] | Effective code retrieval plays a crucial role in advancing code generation,
bug fixing, and software maintenance, particularly as software systems increase
in complexity. While current code embedding models have demonstrated promise in
retrieving code snippets for small-scale, well-defined tasks, they often
underperfor... | 2024-12-01T23:54:12Z | Published as a conference paper at ICLR 2025. First and second author
had equal contribution | null | null | null | null | null | null | null | null | null |
2,412.0113 | Enhancing Function-Calling Capabilities in LLMs: Strategies for Prompt
Formats, Data Integration, and Multilingual Translation | ['Yi-Chang Chen', 'Po-Chun Hsu', 'Chan-Jan Hsu', 'Da-shan Shiu'] | ['cs.CL'] | Large language models (LLMs) have significantly advanced autonomous agents,
particularly in zero-shot tool usage, also known as function calling. This
research delves into enhancing the function-calling capabilities of LLMs by
exploring different approaches, including prompt formats for integrating
function description... | 2024-12-02T05:10:41Z | null | null | null | null | null | null | null | null | null | null |
2,412.01169 | OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows | ['Shufan Li', 'Konstantinos Kallidromitis', 'Akash Gokul', 'Zichun Liao', 'Yusuke Kato', 'Kazuki Kozuka', 'Aditya Grover'] | ['cs.MM', 'cs.CV', 'cs.SD', 'eess.AS'] | We introduce OmniFlow, a novel generative model designed for any-to-any
generation tasks such as text-to-image, text-to-audio, and audio-to-image
synthesis. OmniFlow advances the rectified flow (RF) framework used in
text-to-image models to handle the joint distribution of multiple modalities.
It outperforms previous a... | 2024-12-02T06:13:01Z | 19 pages, 14 figures | null | null | OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows | ['Shufan Li', 'Konstantinos Kallidromitis', 'Akash Gokul', 'Zichun Liao', 'Yusuke Kato', 'Kazuki Kozuka', 'Aditya Grover'] | 2,024 | arXiv.org | 9 | 50 | ['Computer Science', 'Engineering'] |
2,412.01506 | Structured 3D Latents for Scalable and Versatile 3D Generation | ['Jianfeng Xiang', 'Zelong Lv', 'Sicheng Xu', 'Yu Deng', 'Ruicheng Wang', 'Bowen Zhang', 'Dong Chen', 'Xin Tong', 'Jiaolong Yang'] | ['cs.CV'] | We introduce a novel 3D generation method for versatile and high-quality 3D
asset creation. The cornerstone is a unified Structured LATent (SLAT)
representation which allows decoding to different output formats, such as
Radiance Fields, 3D Gaussians, and meshes. This is achieved by integrating a
sparsely-populated 3D g... | 2024-12-02T13:58:38Z | Project Page: https://github.com/Microsoft/TRELLIS | null | null | Structured 3D Latents for Scalable and Versatile 3D Generation | ['Jianfeng Xiang', 'Zelong Lv', 'Sicheng Xu', 'Yu Deng', 'Ruicheng Wang', 'Bowen Zhang', 'Dong Chen', 'Xin Tong', 'Jiaolong Yang'] | 2,024 | arXiv.org | 120 | 111 | ['Computer Science'] |
2,412.01547 | Improved Large Language Model Jailbreak Detection via Pretrained
Embeddings | ['Erick Galinkin', 'Martin Sablotny'] | ['cs.CR', 'cs.AI', 'cs.LG'] | The adoption of large language models (LLMs) in many applications, from
customer service chat bots and software development assistants to more capable
agentic systems necessitates research into how to secure these systems. Attacks
like prompt injection and jailbreaking attempt to elicit responses and actions
from these... | 2024-12-02T14:35:43Z | Submitted to AICS 2025: https://aics.site | null | null | Improved Large Language Model Jailbreak Detection via Pretrained Embeddings | ['Erick Galinkin', 'Martin Sablotny'] | 2,024 | arXiv.org | 3 | 18 | ['Computer Science'] |
2,412.01558 | VideoLights: Feature Refinement and Cross-Task Alignment Transformer for
Joint Video Highlight Detection and Moment Retrieval | ['Dhiman Paul', 'Md Rizwan Parvez', 'Nabeel Mohammed', 'Shafin Rahman'] | ['cs.CV', 'cs.AI', 'I.2.10; I.2.7'] | Video Highlight Detection and Moment Retrieval (HD/MR) are essential in video
analysis. Recent joint prediction transformer models often overlook their
cross-task dynamics and video-text alignment and refinement. Moreover, most
models typically use limited, uni-directional attention mechanisms, resulting
in weakly inte... | 2024-12-02T14:45:53Z | null | null | null | null | null | null | null | null | null | null |
2,412.01626 | WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation | ['Jamshid Mozafari', 'Florian Gerhold', 'Adam Jatowt'] | ['cs.CL', 'cs.IR'] | The use of Large Language Models (LLMs) has increased significantly with
users frequently asking questions to chatbots. In the time when information is
readily accessible, it is crucial to stimulate and preserve human cognitive
abilities and maintain strong reasoning skills. This paper addresses such
challenges by prom... | 2024-12-02T15:44:19Z | Accepted at SIGIR 2025 | Proceedings of the 48th International ACM SIGIR Conference on
Research and Development in Information Retrieval (SIGIR 2025) | 10.1145/3726302.3730284 | WikiHint: A Human-Annotated Dataset for Hint Ranking and Generation | ['Jamshid Mozafari', 'Florian Gerhold', 'Adam Jatowt'] | 2,024 | null | 0 | 55 | ['Computer Science'] |
2,412.01814 | COSMOS: Cross-Modality Self-Distillation for Vision Language
Pre-training | ['Sanghwan Kim', 'Rui Xiao', 'Mariana-Iuliana Georgescu', 'Stephan Alaniz', 'Zeynep Akata'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | Vision-Language Models (VLMs) trained with contrastive loss have achieved
significant advancements in various vision and language tasks. However, the
global nature of the contrastive loss makes VLMs focus predominantly on
foreground objects, neglecting other crucial information in the image, which
limits their effectiv... | 2024-12-02T18:56:06Z | CVPR 2025 | null | null | null | null | null | null | null | null | null |
2,412.01819 | Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis | ['Anton Voronov', 'Denis Kuznedelev', 'Mikhail Khoroshikh', 'Valentin Khrulkov', 'Dmitry Baranchuk'] | ['cs.CV'] | This work presents Switti, a scale-wise transformer for text-to-image
generation. We start by adapting an existing next-scale prediction
autoregressive (AR) architecture to T2I generation, investigating and
mitigating training stability issues in the process. Next, we argue that
scale-wise transformers do not require c... | 2024-12-02T18:57:41Z | CVPR 2025 | null | null | Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis | ['Anton Voronov', 'Denis Kuznedelev', 'Mikhail Khoroshikh', 'Valentin Khrulkov', 'Dmitry Baranchuk'] | 2,024 | arXiv.org | 4 | 83 | ['Computer Science'] |
2,412.0182 | Towards Universal Soccer Video Understanding | ['Jiayuan Rao', 'Haoning Wu', 'Hao Jiang', 'Ya Zhang', 'Yanfeng Wang', 'Weidi Xie'] | ['cs.CV'] | As a globally celebrated sport, soccer has attracted widespread interest from
fans all over the world. This paper aims to develop a comprehensive multi-modal
framework for soccer video understanding. Specifically, we make the following
contributions in this paper: (i) we introduce SoccerReplay-1988, the largest
multi-m... | 2024-12-02T18:58:04Z | CVPR 2025; Project Page: https://jyrao.github.io/UniSoccer/ | null | null | Towards Universal Soccer Video Understanding | ['Jiayuan Rao', 'Haoning Wu', 'Haoyun Jiang', 'Ya Zhang', 'Yanfeng Wang', 'Weidi Xie'] | 2,024 | Computer Vision and Pattern Recognition | 3 | 71 | ['Computer Science'] |
2,412.01981 | Free Process Rewards without Process Labels | ['Lifan Yuan', 'Wendi Li', 'Huayu Chen', 'Ganqu Cui', 'Ning Ding', 'Kaiyan Zhang', 'Bowen Zhou', 'Zhiyuan Liu', 'Hao Peng'] | ['cs.LG', 'cs.CL'] | Different from its counterpart outcome reward models (ORMs), which evaluate
the entire responses, a process reward model (PRM) scores a reasoning
trajectory step by step, providing denser and more fine grained rewards.
However, training a PRM requires labels annotated at every intermediate step,
presenting significant ... | 2024-12-02T21:20:02Z | Models and data are available at:
https://github.com/lifan-yuan/ImplicitPRM | null | null | Free Process Rewards without Process Labels | ['Lifan Yuan', 'Wendi Li', 'Huayu Chen', 'Ganqu Cui', 'Ning Ding', 'Kaiyan Zhang', 'Bowen Zhou', 'Zhiyuan Liu', 'Hao Peng'] | 2,024 | arXiv.org | 65 | 0 | ['Computer Science'] |
2,412.01986 | HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh
Quality Assessment | ['Armin Shafiee Sarvestani', 'Sheyang Tang', 'Zhou Wang'] | ['cs.CV', 'cs.MM'] | Mesh quality assessment (MQA) models play a critical role in the design,
optimization, and evaluation of mesh operation systems in a wide variety of
applications. Current MQA models, whether model-based methods using
topology-aware features or projection-based approaches working on rendered 2D
projections, often fail t... | 2024-12-02T21:35:33Z | null | null | null | null | null | null | null | null | null | null |
2,412.0203 | NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic
Adversarial Training | ['Dar-Yen Chen', 'Hmrishav Bandyopadhyay', 'Kai Zou', 'Yi-Zhe Song'] | ['cs.CV'] | We introduce NitroFusion, a fundamentally different approach to single-step
diffusion that achieves high-quality generation through a dynamic adversarial
framework. While one-step methods offer dramatic speed advantages, they
typically suffer from quality degradation compared to their multi-step
counterparts. Just as a... | 2024-12-02T23:20:35Z | null | null | null | null | null | null | null | null | null | null |
2,412.02168 | Generative Photography: Scene-Consistent Camera Control for Realistic
Text-to-Image Synthesis | ['Yu Yuan', 'Xijun Wang', 'Yichen Sheng', 'Prateek Chennuri', 'Xingguang Zhang', 'Stanley Chan'] | ['cs.CV'] | Image generation today can produce somewhat realistic images from text
prompts. However, if one asks the generator to synthesize a specific camera
setting such as creating different fields of view using a 24mm lens versus a
70mm lens, the generator will not be able to interpret and generate
scene-consistent images. Thi... | 2024-12-03T04:55:02Z | Accepted by CVPR 2025. Project page:
https://generative-photography.github.io/project/ | null | null | null | null | null | null | null | null | null |
2,412.0221 | CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating
Large Multimodal Models in Literacy | ['Zhibo Yang', 'Jun Tang', 'Zhaohai Li', 'Pengfei Wang', 'Jianqiang Wan', 'Humen Zhong', 'Xuejing Liu', 'Mingkun Yang', 'Peng Wang', 'Shuai Bai', 'LianWen Jin', 'Junyang Lin'] | ['cs.CV'] | Large Multimodal Models (LMMs) have demonstrated impressive performance in
recognizing document images with natural language instructions. However, it
remains unclear to what extent capabilities in literacy with rich structure and
fine-grained visual challenges. The current landscape lacks a comprehensive
benchmark to ... | 2024-12-03T07:03:25Z | 23 pages, 14 figures; The code will be released soon | null | null | null | null | null | null | null | null | null |
2,412.02254 | ProbPose: A Probabilistic Approach to 2D Human Pose Estimation | ['Miroslav Purkrabek', 'Jiri Matas'] | ['cs.CV'] | Current Human Pose Estimation methods have achieved significant improvements.
However, state-of-the-art models ignore out-of-image keypoints and use
uncalibrated heatmaps as keypoint location representations. To address these
limitations, we propose ProbPose, which predicts for each keypoint: a
calibrated probability o... | 2024-12-03T08:30:59Z | Code: https://mirapurkrabek.github.io/ProbPose/ | null | null | ProbPose: A Probabilistic Approach to 2D Human Pose Estimation | ['Miroslav Purkrabek', 'Jiri Matas'] | 2,024 | arXiv.org | 1 | 45 | ['Computer Science'] |
2,412.02595 | Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon
Pretraining Dataset | ['Dan Su', 'Kezhi Kong', 'Ying Lin', 'Joseph Jennings', 'Brandon Norick', 'Markus Kliegl', 'Mostofa Patwary', 'Mohammad Shoeybi', 'Bryan Catanzaro'] | ['cs.CL'] | Recent English Common Crawl datasets like FineWeb-Edu and DCLM achieved
significant benchmark gains via aggressive model-based filtering, but at the
cost of removing 90% of data. This limits their suitability for long token
horizon training, such as 15T tokens for Llama 3.1. In this paper, we show how
to achieve better... | 2024-12-03T17:28:50Z | ACL 2025 | null | null | null | null | null | null | null | null | null |
2,412.02632 | Scaling Image Tokenizers with Grouped Spherical Quantization | ['Jiangtao Wang', 'Zhen Qin', 'Yifan Zhang', 'Vincent Tao Hu', 'Björn Ommer', 'Rania Briq', 'Stefan Kesselheim'] | ['cs.CV', 'cs.AI'] | Vision tokenizers have gained a lot of attraction due to their scalability
and compactness; previous works depend on old-school GAN-based hyperparameters,
biased comparisons, and a lack of comprehensive analysis of the scaling
behaviours. To tackle those issues, we introduce Grouped Spherical Quantization
(GSQ), featur... | 2024-12-03T18:01:45Z | null | null | null | Scaling Image Tokenizers with Grouped Spherical Quantization | ['Jiangtao Wang', 'Zhen Qin', 'Yifan Zhang', 'Vincent Tao Hu', 'Bjorn Ommer', 'Rania Briq', 'Stefan Kesselheim'] | 2,024 | arXiv.org | 2 | 63 | ['Computer Science'] |
2,412.02692 | Scalable Image Tokenization with Index Backpropagation Quantization | ['Fengyuan Shi', 'Zhuoyan Luo', 'Yixiao Ge', 'Yujiu Yang', 'Ying Shan', 'Limin Wang'] | ['cs.CV', 'cs.AI'] | Existing vector quantization (VQ) methods struggle with scalability, largely
attributed to the instability of the codebook that undergoes partial updates
during training. The codebook is prone to collapse as utilization decreases,
due to the progressively widening distribution gap between non-activated codes
and visual... | 2024-12-03T18:59:10Z | null | null | null | null | null | null | null | null | null | null |
2,412.02732 | Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth
Observation Applications | ['Daniela Szwarcman', 'Sujit Roy', 'Paolo Fraccaro', 'Þorsteinn Elí Gíslason', 'Benedikt Blumenstiel', 'Rinki Ghosal', 'Pedro Henrique de Oliveira', 'Joao Lucas de Sousa Almeida', 'Rocco Sedona', 'Yanghui Kang', 'Srija Chakraborty', 'Sizhe Wang', 'Carlos Gomes', 'Ankur Kumar', 'Myscon Truong', 'Denys Godwin', 'Hyunho L... | ['cs.CV'] | This technical report presents Prithvi-EO-2.0, a new geospatial foundation
model that offers significant improvements over its predecessor,
Prithvi-EO-1.0. Trained on 4.2M global time series samples from NASA's
Harmonized Landsat and Sentinel-2 data archive at 30m resolution, the new 300M
and 600M parameter models inco... | 2024-12-03T17:59:50Z | null | null | null | null | null | null | null | null | null | null |
2,412.03069 | TokenFlow: Unified Image Tokenizer for Multimodal Understanding and
Generation | ['Liao Qu', 'Huichao Zhang', 'Yiheng Liu', 'Xu Wang', 'Yi Jiang', 'Yiming Gao', 'Hu Ye', 'Daniel K. Du', 'Zehuan Yuan', 'Xinglong Wu'] | ['cs.CV', 'cs.AI'] | We present TokenFlow, a novel unified image tokenizer that bridges the
long-standing gap between multimodal understanding and generation. Prior
research attempt to employ a single reconstruction-targeted Vector Quantization
(VQ) encoder for unifying these two tasks. We observe that understanding and
generation require ... | 2024-12-04T06:46:55Z | https://byteflow-ai.github.io/TokenFlow/ | null | null | null | null | null | null | null | null | null |
2,412.03079 | Align3R: Aligned Monocular Depth Estimation for Dynamic Videos | ['Jiahao Lu', 'Tianyu Huang', 'Peng Li', 'Zhiyang Dou', 'Cheng Lin', 'Zhiming Cui', 'Zhen Dong', 'Sai-Kit Yeung', 'Wenping Wang', 'Yuan Liu'] | ['cs.CV'] | Recent developments in monocular depth estimation methods enable high-quality
depth estimation of single-view images but fail to estimate consistent video
depth across different frames. Recent works address this problem by applying a
video diffusion model to generate video depth conditioned on the input video,
which is... | 2024-12-04T07:09:59Z | Project Page: https://igl-hkust.github.io/Align3R.github.io/ | null | null | null | null | null | null | null | null | null |
2,412.03093 | Expanding Event Modality Applications through a Robust CLIP-Based
Encoder | ['Sungheon Jeong', 'Hanning Chen', 'Sanggeon Yun', 'Suhyeon Cho', 'Wenjun Huang', 'Xiangjian Liu', 'Mohsen Imani'] | ['cs.CV'] | This paper introduces a powerful encoder that transfers CLIP`s capabilities
to event-based data, enhancing its utility and expanding its applicability
across diverse domains. While large-scale datasets have significantly advanced
image-based models, the scarcity of comprehensive event datasets has limited
performance p... | 2024-12-04T07:44:58Z | null | null | null | null | null | null | null | null | null | null |
2,412.03104 | ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced
Understanding and Reasoning | ['Zhe Xie', 'Zeyan Li', 'Xiao He', 'Longlong Xu', 'Xidao Wen', 'Tieying Zhang', 'Jianjun Chen', 'Rui Shi', 'Dan Pei'] | ['cs.AI'] | Understanding time series is crucial for its application in real-world
scenarios. Recently, large language models (LLMs) have been increasingly
applied to time series tasks, leveraging their strong language capabilities to
enhance various applications. However, research on multimodal LLMs (MLLMs) for
time series unders... | 2024-12-04T08:06:15Z | accepted by VLDB' 25 | null | null | ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and Reasoning | ['Zhe Xie', 'Zeyan Li', 'Xiao He', 'Longlong Xu', 'Xidao Wen', 'Tieying Zhang', 'Jianjun Chen', 'Rui Shi', 'Dan Pei'] | 2,024 | arXiv.org | 15 | 58 | ['Computer Science'] |
2,412.03176 | Automatic detection of diseases in Spanish clinical notes combining
medical language models and ontologies | ['Leon-Paul Schaub Torre', 'Pelayo Quiros', 'Helena Garcia Mieres'] | ['cs.CL'] | In this paper we present a hybrid method for the automatic detection of
dermatological pathologies in medical reports. We use a large language model
combined with medical ontologies to predict, given a first appointment or
follow-up medical report, the pathology a person may suffer from. The results
show that teaching ... | 2024-12-04T09:57:57Z | Translation of SEPLN 2024 es paper | null | null | Automatic detection of diseases in Spanish clinical notes combining medical language models and ontologies | ['León-Paul Schaub Torre', 'Pelayo Quirós', 'Helena García Mieres'] | 2,024 | arXiv.org | 0 | 69 | ['Computer Science'] |
2,412.03187 | Weighted-Reward Preference Optimization for Implicit Model Fusion | ['Ziyi Yang', 'Fanqi Wan', 'Longguang Zhong', 'Tianyuan Shi', 'Xiaojun Quan'] | ['cs.CL'] | While fusing heterogeneous open-source LLMs with varying architectures and
sizes can potentially integrate the strengths of different models, existing
fusion methods face significant challenges, such as vocabulary alignment and
merging distribution matrices. These procedures are not only complex but also
prone to intro... | 2024-12-04T10:15:12Z | Accepted to ICLR 2025 | null | null | null | null | null | null | null | null | null |
2,412.03331 | LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence
Embeddings | ['Fred Philippy', 'Siwen Guo', 'Jacques Klein', 'Tegawendé F. Bissyandé'] | ['cs.CL', 'cs.AI'] | Sentence embedding models play a key role in various Natural Language
Processing tasks, such as in Topic Modeling, Document Clustering and
Recommendation Systems. However, these models rely heavily on parallel data,
which can be scarce for many low-resource languages, including Luxembourgish.
This scarcity results in s... | 2024-12-04T14:02:12Z | Accepted at COLING 2025 | null | null | LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings | ['Fred Philippy', 'Siwen Guo', 'Jacques Klein', "Tegawend'e F. Bissyand'e"] | 2,024 | International Conference on Computational Linguistics | 2 | 25 | ['Computer Science'] |
2,412.03439 | CleanDIFT: Diffusion Features without Noise | ['Nick Stracke', 'Stefan Andreas Baumann', 'Kolja Bauer', 'Frank Fundel', 'Björn Ommer'] | ['cs.CV'] | Internal features from large-scale pre-trained diffusion models have recently
been established as powerful semantic descriptors for a wide range of
downstream tasks. Works that use these features generally need to add noise to
images before passing them through the model to obtain the semantic features,
as the models d... | 2024-12-04T16:29:04Z | for the project page and code, view
https://compvis.github.io/cleandift/ | null | null | CleanDIFT: Diffusion Features without Noise | ['Nick Stracke', 'Stefan Andreas Baumann', 'Kolja Bauer', 'Frank Fundel', 'Bjorn Ommer'] | 2,024 | Computer Vision and Pattern Recognition | 5 | 66 | ['Computer Science'] |
2,412.03515 | Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion | ['Shengyuan Zhang', 'An Zhao', 'Ling Yang', 'Zejian Li', 'Chenye Meng', 'Haoran Xu', 'Tianrun Chen', 'AnYang Wei', 'Perry Pengyun GU', 'Lingyun Sun'] | ['cs.CV'] | Diffusion models have been applied to 3D LiDAR scene completion due to their
strong training stability and high completion quality. However, the slow
sampling speed limits the practical application of diffusion-based scene
completion models since autonomous vehicles require an efficient perception of
surrounding enviro... | 2024-12-04T17:57:25Z | https://github.com/happyw1nd/ScoreLiDAR | null | null | Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion | ['Shengyuan Zhang', 'An Zhao', 'Ling Yang', 'Zejian Li', 'Chen Meng', 'Haoran Xu', 'Tianrun Chen', 'Anyang Wei', 'Perry Pengyun Gu', 'Lingyun Sun'] | 2,024 | arXiv.org | 3 | 0 | ['Computer Science'] |
2,412.03517 | NVComposer: Boosting Generative Novel View Synthesis with Multiple
Sparse and Unposed Images | ['Lingen Li', 'Zhaoyang Zhang', 'Yaowei Li', 'Jiale Xu', 'Wenbo Hu', 'Xiaoyu Li', 'Weihao Cheng', 'Jinwei Gu', 'Tianfan Xue', 'Ying Shan'] | ['cs.CV'] | Recent advancements in generative models have significantly improved novel
view synthesis (NVS) from multi-view data. However, existing methods depend on
external multi-view alignment processes, such as explicit pose estimation or
pre-reconstruction, which limits their flexibility and accessibility,
especially when ali... | 2024-12-04T17:58:03Z | Project Page: https://lg-li.github.io/project/nvcomposer | null | null | null | null | null | null | null | null | null |
2,412.03555 | PaliGemma 2: A Family of Versatile VLMs for Transfer | ['Andreas Steiner', 'André Susano Pinto', 'Michael Tschannen', 'Daniel Keysers', 'Xiao Wang', 'Yonatan Bitton', 'Alexey Gritsenko', 'Matthias Minderer', 'Anthony Sherbondy', 'Shangbang Long', 'Siyang Qin', 'Reeve Ingle', 'Emanuele Bugliarello', 'Sahar Kazemzadeh', 'Thomas Mesnard', 'Ibrahim Alabdulmohsin', 'Lucas Beyer... | ['cs.CV'] | PaliGemma 2 is an upgrade of the PaliGemma open Vision-Language Model (VLM)
based on the Gemma 2 family of language models. We combine the SigLIP-So400m
vision encoder that was also used by PaliGemma with the whole range of Gemma 2
models, from the 2B one all the way up to the 27B model. We train these models
at three ... | 2024-12-04T18:50:42Z | null | null | null | PaliGemma 2: A Family of Versatile VLMs for Transfer | ['A. Steiner', 'André Susano Pinto', 'Michael Tschannen', 'Daniel Keysers', 'Xiao Wang', 'Yonatan Bitton', 'Alexey Gritsenko', 'Matthias Minderer', 'Anthony Sherbondy', 'Shangbang Long', 'Siyang Qin', 'R. Ingle', 'Emanuele Bugliarello', 'Sahar Kazemzadeh', 'Thomas Mesnard', 'Ibrahim M. Alabdulmohsin', 'Lucas Beyer', 'X... | 2,024 | arXiv.org | 46 | 0 | ['Computer Science'] |
2,412.03558 | MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation | ['Zehuan Huang', 'Yuan-Chen Guo', 'Xingqiao An', 'Yunhan Yang', 'Yangguang Li', 'Zi-Xin Zou', 'Ding Liang', 'Xihui Liu', 'Yan-Pei Cao', 'Lu Sheng'] | ['cs.CV'] | This paper introduces MIDI, a novel paradigm for compositional 3D scene
generation from a single image. Unlike existing methods that rely on
reconstruction or retrieval techniques or recent approaches that employ
multi-stage object-by-object generation, MIDI extends pre-trained image-to-3D
object generation models to m... | 2024-12-04T18:52:40Z | Project page: https://huanngzh.github.io/MIDI-Page/ | null | null | null | null | null | null | null | null | null |
2,412.03561 | FLAIR: VLM with Fine-grained Language-informed Image Representations | ['Rui Xiao', 'Sanghwan Kim', 'Mariana-Iuliana Georgescu', 'Zeynep Akata', 'Stephan Alaniz'] | ['cs.CV', 'cs.AI'] | CLIP has shown impressive results in aligning images and texts at scale.
However, its ability to capture detailed visual features remains limited
because CLIP matches images and texts at a global level. To address this issue,
we propose FLAIR, Fine-grained Language-informed Image Representations, an
approach that utili... | 2024-12-04T18:56:04Z | null | null | null | null | null | null | null | null | null | null |
2,412.03565 | Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual
Prompt Instruction Tuning | ['Wujian Peng', 'Lingchen Meng', 'Yitong Chen', 'Yiweng Xie', 'Yang Liu', 'Tao Gui', 'Hang Xu', 'Xipeng Qiu', 'Zuxuan Wu', 'Yu-Gang Jiang'] | ['cs.CV'] | Large Multimodal Models (LMMs) have made significant breakthroughs with the
advancement of instruction tuning. However, while existing models can
understand images and videos at a holistic level, they still struggle with
instance-level understanding that requires a more nuanced comprehension and
alignment. Instance-lev... | 2024-12-04T18:58:10Z | Project page at https://inst-it.github.io | null | null | null | null | null | null | null | null | null |
2,412.03568 | The Matrix: Infinite-Horizon World Generation with Real-Time Moving
Control | ['Ruili Feng', 'Han Zhang', 'Zhantao Yang', 'Jie Xiao', 'Zhilei Shu', 'Zhiheng Liu', 'Andy Zheng', 'Yukun Huang', 'Yu Liu', 'Hongyang Zhang'] | ['cs.AI'] | We present The Matrix, the first foundational realistic world simulator
capable of generating continuous 720p high-fidelity real-scene video streams
with real-time, responsive control in both first- and third-person
perspectives, enabling immersive exploration of richly dynamic environments.
Trained on limited supervis... | 2024-12-04T18:59:05Z | null | null | null | The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control | ['Ruili Feng', 'Han Zhang', 'Zhantao Yang', 'Jie Xiao', 'Zhilei Shu', 'Zhiheng Liu', 'Zian Andy Zheng', 'Yukun Huang', 'Yu Liu', 'Hongyang Zhang'] | 2,024 | arXiv.org | 20 | 46 | ['Computer Science'] |
2,412.03572 | Navigation World Models | ['Amir Bar', 'Gaoyue Zhou', 'Danny Tran', 'Trevor Darrell', 'Yann LeCun'] | ['cs.CV', 'cs.AI', 'cs.LG', 'cs.RO'] | Navigation is a fundamental skill of agents with visual-motor capabilities.
We introduce a Navigation World Model (NWM), a controllable video generation
model that predicts future visual observations based on past observations and
navigation actions. To capture complex environment dynamics, NWM employs a
Conditional Di... | 2024-12-04T18:59:45Z | CVPR 2025. Project page: https://www.amirbar.net/nwm/ | null | null | null | null | null | null | null | null | null |
2,412.03603 | HunyuanVideo: A Systematic Framework For Large Video Generative Models | ['Weijie Kong', 'Qi Tian', 'Zijian Zhang', 'Rox Min', 'Zuozhuo Dai', 'Jin Zhou', 'Jiangfeng Xiong', 'Xin Li', 'Bo Wu', 'Jianwei Zhang', 'Kathrina Wu', 'Qin Lin', 'Junkun Yuan', 'Yanxin Long', 'Aladdin Wang', 'Andong Wang', 'Changlin Li', 'Duojun Huang', 'Fang Yang', 'Hao Tan', 'Hongmei Wang', 'Jacob Song', 'Jiawang Bai... | ['cs.CV'] | Recent advancements in video generation have significantly impacted daily
life for both individuals and industries. However, the leading video generation
models remain closed-source, resulting in a notable performance gap between
industry capabilities and those available to the public. In this report, we
introduce Huny... | 2024-12-03T23:52:37Z | null | null | null | null | null | null | null | null | null | null |
2,412.03632 | MV-Adapter: Multi-view Consistent Image Generation Made Easy | ['Zehuan Huang', 'Yuan-Chen Guo', 'Haoran Wang', 'Ran Yi', 'Lizhuang Ma', 'Yan-Pei Cao', 'Lu Sheng'] | ['cs.CV'] | Existing multi-view image generation methods often make invasive
modifications to pre-trained text-to-image (T2I) models and require full
fine-tuning, leading to (1) high computational costs, especially with large
base models and high-resolution images, and (2) degradation in image quality
due to optimization difficult... | 2024-12-04T18:48:20Z | Project page: https://huanngzh.github.io/MV-Adapter-Page/ | null | null | null | null | null | null | null | null | null |
2,412.03795 | Samudra: An AI Global Ocean Emulator for Climate | ['Surya Dheeshjith', 'Adam Subel', 'Alistair Adcroft', 'Julius Busecke', 'Carlos Fernandez-Granda', 'Shubham Gupta', 'Laure Zanna'] | ['physics.ao-ph', 'cs.LG'] | AI emulators for forecasting have emerged as powerful tools that can
outperform conventional numerical predictions. The next frontier is to build
emulators for long climate simulations with skill across a range of
spatiotemporal scales, a particularly important goal for the ocean. Our work
builds a skillful global emul... | 2024-12-05T01:25:34Z | null | Geophysical Research Letters 52.10 (2025) | 10.1029/2024GL114318 | null | null | null | null | null | null | null |
2,412.03859 | CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative
Layout-to-Image Generation | ['Hui Zhang', 'Dexiang Hong', 'Yitong Wang', 'Jie Shao', 'Xinglong Wu', 'Zuxuan Wu', 'Yu-Gang Jiang'] | ['cs.CV'] | Diffusion models have been recognized for their ability to generate images
that are not only visually appealing but also of high artistic quality. As a
result, Layout-to-Image (L2I) generation has been proposed to leverage
region-specific positions and descriptions to enable more precise and
controllable generation. Ho... | 2024-12-05T04:09:47Z | null | null | null | null | null | null | null | null | null | null |
2,412.04003 | Marco-LLM: Bridging Languages via Massive Multilingual Training for
Cross-Lingual Enhancement | ['Lingfeng Ming', 'Bo Zeng', 'Chenyang Lyu', 'Tianqi Shi', 'Yu Zhao', 'Xue Yang', 'Yefeng Liu', 'Yiyu Wang', 'Linlong Xu', 'Yangyang Liu', 'Xiaohu Zhao', 'Hao Wang', 'Heng Liu', 'Hao Zhou', 'Huifeng Yin', 'Zifu Shang', 'Haijun Li', 'Longyue Wang', 'Weihua Luo', 'Kaifu Zhang'] | ['cs.CL'] | Large Language Models (LLMs) have achieved remarkable progress in recent
years; however, their excellent performance is still largely limited to major
world languages, primarily English. Many LLMs continue to face challenges with
multilingual tasks, especially when it comes to low-resource languages. To
address this is... | 2024-12-05T09:26:58Z | null | null | null | null | null | null | null | null | null | null |
2,412.04092 | GEITje 7B Ultra: A Conversational Model for Dutch | ['Bram Vanroy'] | ['cs.CL'] | Language models have rapidly evolved, predominantly focusing on English while
often neglecting extensive pretraining in other languages. This approach has
required initiatives to adapt powerful, English-centric models to other
linguistic contexts through finetuning. For Dutch, such a recent endeavour is
``GEITje'' a mo... | 2024-12-05T11:56:48Z | null | null | null | null | null | null | null | null | null | null |
2,412.04106 | MRGen: Segmentation Data Engine For Underrepresented MRI Modalities | ['Haoning Wu', 'Ziheng Zhao', 'Ya Zhang', 'Yanfeng Wang', 'Weidi Xie'] | ['cs.CV', 'cs.AI'] | Training medical image segmentation models for rare yet clinically
significant imaging modalities is challenging due to the scarcity of annotated
data, and manual mask annotations can be costly and labor-intensive to acquire.
This paper investigates leveraging generative models to synthesize training
data, to train seg... | 2024-12-04T16:34:22Z | Technical Report; Project Page:
https://haoningwu3639.github.io/MRGen/ | null | null | null | null | null | null | null | null | null |
2,412.04139 | Monet: Mixture of Monosemantic Experts for Transformers | ['Jungwoo Park', 'Young Jin Ahn', 'Kee-Eung Kim', 'Jaewoo Kang'] | ['cs.AI'] | Understanding the internal computations of large language models (LLMs) is
crucial for aligning them with human values and preventing undesirable
behaviors like toxic content generation. However, mechanistic interpretability
is hindered by polysemanticity -- where individual neurons respond to multiple,
unrelated conce... | 2024-12-05T13:06:03Z | null | null | null | Monet: Mixture of Monosemantic Experts for Transformers | ['Jungwoo Park', 'Y. Ahn', 'Kee-Eung Kim', 'Jaewoo Kang'] | 2,024 | International Conference on Learning Representations | 4 | 67 | ['Computer Science'] |
2,412.04167 | Bench-CoE: a Framework for Collaboration of Experts from Benchmark | ['Yuanshuai Wang', 'Xingjian Zhang', 'Jinkun Zhao', 'Siwei Wen', 'Peilin Feng', 'Shuhao Liao', 'Lei Huang', 'Wenjun Wu'] | ['cs.AI'] | Large Language Models (LLMs) are key technologies driving intelligent systems
to handle multiple tasks. To meet the demands of various tasks, an increasing
number of LLMs-driven experts with diverse capabilities have been developed,
accompanied by corresponding benchmarks to evaluate their performance. This
paper propo... | 2024-12-05T14:03:41Z | The code is available at
\url{https://github.com/ZhangXJ199/Bench-CoE} | null | null | null | null | null | null | null | null | null |
2,412.04261 | Aya Expanse: Combining Research Breakthroughs for a New Multilingual
Frontier | ['John Dang', 'Shivalika Singh', "Daniel D'souza", 'Arash Ahmadian', 'Alejandro Salamanca', 'Madeline Smith', 'Aidan Peppin', 'Sungjin Hong', 'Manoj Govindassamy', 'Terrence Zhao', 'Sandra Kublik', 'Meor Amer', 'Viraat Aryabumi', 'Jon Ander Campos', 'Yi-Chern Tan', 'Tom Kocmi', 'Florian Strub', 'Nathan Grinsztajn', 'Ya... | ['cs.CL'] | We introduce the Aya Expanse model family, a new generation of 8B and 32B
parameter multilingual language models, aiming to address the critical
challenge of developing highly performant multilingual models that match or
surpass the capabilities of monolingual models. By leveraging several years of
research at Cohere F... | 2024-12-05T15:41:06Z | null | null | null | null | null | null | null | null | null | null |
2,412.04262 | SynFinTabs: A Dataset of Synthetic Financial Tables for Information and
Table Extraction | ['Ethan Bradley', 'Muhammad Roman', 'Karen Rafferty', 'Barry Devereux'] | ['cs.LG'] | Table extraction from document images is a challenging AI problem, and
labelled data for many content domains is difficult to come by. Existing table
extraction datasets often focus on scientific tables due to the vast amount of
academic articles that are readily available, along with their source code.
However, there ... | 2024-12-05T15:42:59Z | 12 pages, 8 figures | null | null | null | null | null | null | null | null | null |
2,412.04277 | Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic | ['Zaid Alyafeai', 'Michael Pieler', 'Hannah Teufel', 'Jonathan Tow', 'Marco Bellagente', 'Duy Phung', 'Nikhil Pinnaparaju', 'Reshinth Adithyan', 'Paulo Rocha', 'Maksym Zhuravinskyi', 'Carlos Riquelme'] | ['cs.CL'] | Large Language Models (LLMs) have shown impressive results in multiple
domains of natural language processing (NLP) but are mainly focused on the
English language. Recently, more LLMs have incorporated a larger proportion of
multilingual text to represent low-resource languages. In Arabic NLP, several
Arabic-centric LL... | 2024-12-05T15:59:29Z | null | null | null | null | null | null | null | null | null | null |
2,412.04292 | SIDA: Social Media Image Deepfake Detection, Localization and
Explanation with Large Multimodal Model | ['Zhenglin Huang', 'Jinwei Hu', 'Xiangtai Li', 'Yiwei He', 'Xingyu Zhao', 'Bei Peng', 'Baoyuan Wu', 'Xiaowei Huang', 'Guangliang Cheng'] | ['cs.CV', 'cs.AI'] | The rapid advancement of generative models in creating highly realistic
images poses substantial risks for misinformation dissemination. For instance,
a synthetic image, when shared on social media, can mislead extensive audiences
and erode trust in digital content, resulting in severe repercussions. Despite
some progr... | 2024-12-05T16:12:25Z | This version revises and corrects the metric calculations in the
tables | null | null | null | null | null | null | null | null | null |
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