repo_url
stringlengths 26
200
| paper_url
stringlengths 36
81
| paper_title
stringlengths 3
229
β | paper_arxiv_id
stringlengths 9
16
| framework
stringclasses 9
values | official_status
stringclasses 2
values | mention_source
stringclasses 3
values |
|---|---|---|---|---|---|---|
https://github.com/aminebdj/3d-owis
|
https://paperswithcode.com/paper/3d-indoor-instance-segmentation-in-an-open-1
|
3D Indoor Instance Segmentation in an Open-World
|
2309.14338
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/hannesstark/3dinfomax
|
https://paperswithcode.com/paper/3d-infomax-improves-gnns-for-molecular
|
3D Infomax improves GNNs for Molecular Property Prediction
|
2110.04126
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/w1zheng/dknet
|
https://paperswithcode.com/paper/3d-instances-as-1d-kernels
|
3D Instances as 1D Kernels
|
2207.07372
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/menghao666/hdr
|
https://paperswithcode.com/paper/3d-interacting-hand-pose-estimation-by-hand
|
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
|
2207.11061
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/Namkyeong/3DMRL
|
https://paperswithcode.com/paper/3d-interaction-geometric-pre-training-for
|
3D Interaction Geometric Pre-training for Molecular Relational Learning
|
2412.02957
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/prbonn/4dndf
|
https://paperswithcode.com/paper/3d-lidar-mapping-in-dynamic-environments
|
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
|
2405.03388
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/cvg/limap
|
https://paperswithcode.com/paper/3d-line-mapping-revisited
|
3D Line Mapping Revisited
|
2303.17504
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/Arksyd96/synthesis-with-slice-based-ldm
|
https://paperswithcode.com/paper/3d-mri-synthesis-with-slice-based-latent
|
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes
|
2406.05421
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/layumi/3D-Magic-Mirror
|
https://paperswithcode.com/paper/3d-magic-mirror-clothing-reconstruction-from
|
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective
|
2204.13096
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/Stefan-Yu404/MP-UNet
|
https://paperswithcode.com/paper/3d-medical-image-segmentation-based-on-multi
|
3D Medical Image Segmentation based on multi-scale MPU-Net
|
2307.05799
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/hengcai-nju/3d2dct
|
https://paperswithcode.com/paper/3d-medical-image-segmentation-with-sparse
|
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks
|
2307.16256
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/crane-papercode/3dmedpt
|
https://paperswithcode.com/paper/3d-medical-point-transformer-introducing
|
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis
|
2112.04863
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/omkarthawakar/stt-unet
|
https://paperswithcode.com/paper/3d-mitochondria-instance-segmentation-with
|
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers
|
2303.12073
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/3d-morphable-models/curated-list-of-awesome-3D-Morphable-Model-software-and-data
|
https://paperswithcode.com/paper/3d-morphable-face-models-past-present-and
|
3D Morphable Face Models -- Past, Present and Future
|
1909.01815
|
tf
|
β
Official
|
π In Paper
|
https://github.com/anilbas/3DMMasSTN
|
https://paperswithcode.com/paper/3d-morphable-models-as-spatial-transformer
|
3D Morphable Models as Spatial Transformer Networks
|
1708.07199
|
none
|
β
Official
|
π In Paper
|
https://github.com/xinshuoweng/AB3DMOT
|
https://paperswithcode.com/paper/a-baseline-for-3d-multi-object-tracking
|
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics
|
1907.03961
|
none
|
β
Official
|
π In Paper
|
https://github.com/pzzz-cv/RStab
|
https://paperswithcode.com/paper/3d-multi-frame-fusion-for-video-stabilization
|
3D Multi-frame Fusion for Video Stabilization
|
2404.12887
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/eric-stumpe/plant3dimagereg
|
https://paperswithcode.com/paper/3d-multimodal-image-registration-for-plant
|
3D Multimodal Image Registration for Plant Phenotyping
|
2407.02946
|
none
|
β
Official
|
π In Paper
|
https://github.com/ellawang44/Breidablik
|
https://paperswithcode.com/paper/3d-nlte-spectral-line-formation-of-lithium-in
|
3D NLTE spectral line formation of lithium in late-type stars
|
2010.15248
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/deepmind/threednel
|
https://paperswithcode.com/paper/3d-neural-embedding-likelihood-for-robust-sim
|
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
|
2302.03744
|
jax
|
β
Official
|
π In Paper
|
https://github.com/danielkorat/Lung-Cancer-Risk-Prediction
|
https://paperswithcode.com/paper/3d-neural-network-for-lung-cancer-risk
|
3D Neural Network for Lung Cancer Risk Prediction on CT Volumes
|
2007.12898
|
tf
|
β
Official
|
π In Paper
|
https://github.com/baskargroup/DI-DeepONet
|
https://paperswithcode.com/paper/3d-neural-operator-based-flow-surrogates
|
3D Neural Operator-Based Flow Surrogates around 3D geometries: Signed Distance Functions and Derivative Constraints
|
2503.17289
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/pettza/3dns
|
https://paperswithcode.com/paper/3d-neural-sculpting-3dns-editing-neural
|
3D Neural Sculpting (3DNS): Editing Neural Signed Distance Functions
|
2209.13971
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/pointscoder/awesome-3d-object-detection-for-autonomous-driving
|
https://paperswithcode.com/paper/3d-object-detection-for-autonomous-driving-a-1
|
3D Object Detection for Autonomous Driving: A Comprehensive Survey
|
2206.09474
|
none
|
β
Official
|
π In Paper
|
https://github.com/rui-qian/SoTA-3D-Object-Detection
|
https://paperswithcode.com/paper/3d-object-detection-for-autonomous-driving-a
|
3D Object Detection for Autonomous Driving: A Survey
|
2106.10823
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/xinzhuma/3dodi-survey
|
https://paperswithcode.com/paper/3d-object-detection-from-images-for
|
3D Object Detection from Images for Autonomous Driving: A Survey
|
2202.02980
|
none
|
β
Official
|
π In Paper
|
https://github.com/Vladimir2506/Pointformer
|
https://paperswithcode.com/paper/3d-object-detection-with-pointformer
|
3D Object Detection with Pointformer
|
2012.11409
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/emecercelik/ssl-3d-detection
|
https://paperswithcode.com/paper/3d-object-detection-with-a-self-supervised
|
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
|
2205.00705
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/dkoguciuk/ensemble_learning_for_point_clouds
|
https://paperswithcode.com/paper/3d-object-recognition-with-ensemble-learning
|
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models
|
1904.08159
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/3bobo/lttr
|
https://paperswithcode.com/paper/3d-object-tracking-with-transformer
|
3D Object Tracking with Transformer
|
2110.14921
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/WaiTsun-Yeung/3D-Orientation-Field-Transform
|
https://paperswithcode.com/paper/3d-orientation-field-transform
|
3D Orientation Field Transform
|
2010.01453
|
none
|
β
Official
|
β No Mention
|
https://github.com/threedle/3d-paintbrush
|
https://paperswithcode.com/paper/3d-paintbrush-local-stylization-of-3d-shapes
|
3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation
|
2311.09571
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/marco-garosi/COPS
|
https://paperswithcode.com/paper/3d-part-segmentation-via-geometric
|
3D Part Segmentation via Geometric Aggregation of 2D Visual Features
|
2412.04247
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/vt-vl-lab/3d-photo-inpainting
|
https://paperswithcode.com/paper/3d-photography-using-context-aware-layered
|
3D Photography using Context-aware Layered Depth Inpainting
|
2004.04727
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/apurba-nsu-rnd-lab/pcnn_pruning
|
https://paperswithcode.com/paper/3d-point-cloud-network-pruning-when-some
|
3D Point Cloud Network Pruning: When Some Weights Do not Matter
|
2408.14601
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/humanpose1/MS-SVConv
|
https://paperswithcode.com/paper/3d-point-cloud-registration-with-multi-scale
|
3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning
|
2103.14533
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/chaoyuesong/3d-corenet
|
https://paperswithcode.com/paper/3d-pose-transfer-with-correspondence-learning
|
3D Pose Transfer with Correspondence Learning and Mesh Refinement
|
2109.15025
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ryota-skating/fs-jump3d
|
https://paperswithcode.com/paper/3d-pose-based-temporal-action-segmentation
|
3D Pose-Based Temporal Action Segmentation for Figure Skating: A Fine-Grained and Jump Procedure-Aware Annotation Approach
|
2408.16638
|
none
|
β
Official
|
π In Paper
|
https://github.com/esander1789/3dprintinginvariantmanifolds
|
https://paperswithcode.com/paper/3d-printing-of-invariant-manifolds-in
|
3D Printing of Invariant Manifolds in Dynamical Systems
|
2504.15884
|
none
|
β
Official
|
π In Paper
|
https://github.com/838143396/3Diffusion
|
https://paperswithcode.com/paper/3d-priors-guided-diffusion-for-blind-face
|
3D Priors-Guided Diffusion for Blind Face Restoration
|
2409.00991
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/Vandermode/QRNN3D
|
https://paperswithcode.com/paper/3d-quasi-recurrent-neural-network-for
|
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
|
2003.04547
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/RansML/BDF
|
https://paperswithcode.com/paper/3d-radar-velocity-maps-for-uncertain-dynamic
|
3D Radar Velocity Maps for Uncertain Dynamic Environments
|
2107.11039
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/xjtlu-cvlab/3drom
|
https://paperswithcode.com/paper/3d-random-occlusion-and-multi-layer
|
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
|
2207.10895
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/RainWang6188/Monovision-3D-Reconstruction-System
|
https://paperswithcode.com/paper/3d-reconstruction-using-a-linear-laser
|
3D Reconstruction Using a Linear Laser Scanner and a Camera
|
2112.00557
|
none
|
β
Official
|
β No Mention
|
https://github.com/pcl3dv/dunerf
|
https://paperswithcode.com/paper/3d-reconstruction-and-new-view-synthesis-of
|
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field
|
2401.14726
|
none
|
β
Official
|
π In Paper
|
https://github.com/htregidgo/DissectionPhotoVolumes
|
https://paperswithcode.com/paper/3d-reconstruction-and-segmentation-of
|
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology
|
2009.05596
|
none
|
β
Official
|
π In Paper
|
https://github.com/renato145/3D-ORGAN
|
https://paperswithcode.com/paper/3d-reconstruction-of-incomplete
|
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
|
1711.06363
|
none
|
β
Official
|
π In Paper
|
https://github.com/mrzzy2021/sculpturerecon
|
https://paperswithcode.com/paper/3d-reconstruction-of-sculptures-from-single
|
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit Models
|
2210.04265
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/json87/spheresfm
|
https://paperswithcode.com/paper/3d-reconstruction-of-spherical-images-based
|
3D Reconstruction of Spherical Images based on Incremental Structure from Motion
|
2306.12770
|
none
|
β
Official
|
π In Paper
|
https://github.com/amyyyy11/3d-registration-in-30-years-a-survey
|
https://paperswithcode.com/paper/3d-registration-in-30-years-a-survey
|
3D Registration in 30 Years: A Survey
|
2412.13735
|
none
|
β
Official
|
π In Paper
|
https://github.com/zhangxy0517/3d-registration-with-maximal-cliques
|
https://paperswithcode.com/paper/3d-registration-with-maximal-cliques-1
|
3D Registration with Maximal Cliques
|
2305.10854
|
none
|
β
Official
|
π In Paper
|
https://github.com/cheind/robot-pose
|
https://paperswithcode.com/paper/3d-robot-pose-estimation-from-2d-images
|
3D Robot Pose Estimation from 2D Images
|
1902.04987
|
none
|
β
Official
|
π In Paper
|
https://github.com/starrah/dmh-net
|
https://paperswithcode.com/paper/3d-room-layout-estimation-from-a-cubemap-of
|
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
|
2207.09291
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/yihuazhu111/3h-th
|
https://paperswithcode.com/paper/3d-rotation-and-translation-for-hyperbolic
|
3D Rotation and Translation for Hyperbolic Knowledge Graph Embedding
|
2305.13015
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/clguo/3dsaunet
|
https://paperswithcode.com/paper/3d-sa-unet-3d-spatial-attention-unet-with-3d
|
3D SA-UNet: 3D Spatial Attention UNet with 3D ASPP for White Matter Hyperintensities Segmentation
|
2309.08402
|
tf
|
β
Official
|
π In Paper
|
https://github.com/hzxie/awesome-3d-scene-generation
|
https://paperswithcode.com/paper/3d-scene-generation-a-survey
|
3D Scene Generation: A Survey
|
2505.05474
|
none
|
β
Official
|
π In Paper
|
https://github.com/StanfordVL/3DSceneGraph
|
https://paperswithcode.com/paper/3d-scene-graph-a-structure-for-unified
|
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera
|
1910.02527
|
none
|
β
Official
|
β No Mention
|
https://github.com/HealthML/self-supervised-3d-tasks
|
https://paperswithcode.com/paper/3d-self-supervised-methods-for-medical
|
3D Self-Supervised Methods for Medical Imaging
|
2006.03829
|
tf
|
β
Official
|
π In Paper
|
https://github.com/xiaoaoran/semanticstf
|
https://paperswithcode.com/paper/3d-semantic-segmentation-in-the-wild-learning
|
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
|
2304.00690
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/TrepangCat/3D_Semantic_Subspace_Traverser
|
https://paperswithcode.com/paper/3d-semantic-subspace-traverser-empowering-3d
|
3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
|
2307.14051
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ltwu6/wssc
|
https://paperswithcode.com/paper/3d-shape-completion-on-unseen-categories-a
|
3D Shape Completion on Unseen Categories:A Weakly-supervised Approach
|
2401.10578
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/mschopfkuester/shape_completion_ttt
|
https://paperswithcode.com/paper/3d-shape-completion-with-test-time-training
|
3D Shape Completion with Test-Time Training
|
2410.18668
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/cnclgithub/intuitive-physics-3d-shape-perception-stimuli
|
https://paperswithcode.com/paper/3d-shape-perception-integrates-intuitive
|
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis
|
2301.03711
|
none
|
β
Official
|
π In Paper
|
https://github.com/junshengzhou/3dattriflow
|
https://paperswithcode.com/paper/3d-shape-reconstruction-from-2d-images-with
|
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
|
2203.15190
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/facebookresearch/3D-Vision-and-Touch
|
https://paperswithcode.com/paper/3d-shape-reconstruction-from-vision-and-touch
|
3D Shape Reconstruction from Vision and Touch
|
2007.03778
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/cristal-3dsam/humancomparisonvarifolds
|
https://paperswithcode.com/paper/3d-shape-sequence-of-human-comparison-and
|
3D Shape Sequence of Human Comparison and Classification using Current and Varifolds
|
2207.12485
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/simofoti/3dvae-swapdisentangled
|
https://paperswithcode.com/paper/3d-shape-variational-autoencoder-latent
|
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces
|
2111.12448
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/xuxw98/dspdet3d
|
https://paperswithcode.com/paper/dspdet3d-dynamic-spatial-pruning-for-3d-small
|
3D Small Object Detection with Dynamic Spatial Pruning
|
2305.03716
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/voreille/ssbcnn
|
https://paperswithcode.com/paper/3d-solid-spherical-bispectrum-cnns-for
|
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
|
2004.13371
|
tf
|
β
Official
|
π In Paper
|
https://github.com/OniDaito/Holly
|
https://paperswithcode.com/paper/3d-structure-from-2d-microscopy-images-using
|
3D Structure from 2D Microscopy images using Deep Learning
|
2110.07608
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/ShanghaiTech-IMPACT/3D-Structure-guided-Network-for-Tooth-Alignment-in-2D-Photograph
|
https://paperswithcode.com/paper/3d-structure-guided-network-for-tooth
|
3D Structure-guided Network for Tooth Alignment in 2D Photograph
|
2310.11106
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/realcrane/student-splating-scooping
|
https://paperswithcode.com/paper/3d-student-splatting-and-scooping
|
3D Student Splatting and Scooping
|
2503.10148
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/SBCV/SatelliteSurfaceReconstruction
|
https://paperswithcode.com/paper/3d-surface-reconstruction-from-multi-date
|
3D Surface Reconstruction From Multi-Date Satellite Images
|
2102.02502
|
none
|
β
Official
|
π In Paper
|
https://github.com/bosmallear/sharp2022
|
https://paperswithcode.com/paper/3d-textured-shape-recovery-with-learned
|
3D Textured Shape Recovery with Learned Geometric Priors
|
2209.03254
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/cavayangtao/lidar_clustering_bench
|
https://paperswithcode.com/paper/3d-tof-lidar-in-mobile-robotics-a-review
|
3D ToF LiDAR in Mobile Robotics: A Review
|
2202.11025
|
none
|
β
Official
|
π In Paper
|
https://github.com/ananyajana/tooth_mesh_seg
|
https://paperswithcode.com/paper/3d-tooth-mesh-segmentation-with-simplified
|
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation
|
2301.10531
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/zhijing-jin/3D_Traffic_in_Unity
|
https://paperswithcode.com/paper/3d-traffic-simulation-for-autonomous-vehicles
|
3D Traffic Simulation for Autonomous Vehicles in Unity and Python
|
1810.12552
|
none
|
β
Official
|
π In Paper
|
https://github.com/Beckschen/3D-TransUNet
|
https://paperswithcode.com/paper/3d-transunet-advancing-medical-image
|
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
|
2310.07781
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/mbanagar/3D-TwoHop-Drones
|
https://paperswithcode.com/paper/3d-two-hop-cellular-networks-with-wireless
|
3D Two-Hop Cellular Networks with Wireless Backhauled UAVs: Modeling and Fundamentals
|
2105.07055
|
none
|
β
Official
|
π On GitHub
|
https://github.com/huangmozhilv/u2net_torch
|
https://paperswithcode.com/paper/3d-u2-net-a-3d-universal-u-net-for-multi
|
3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
|
1909.06012
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/woodywff/brats_2019
|
https://paperswithcode.com/paper/brain-wise-tumor-segmentation-and-patient
|
3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction
|
1909.12901
|
tf
|
β
Official
|
π In Paper
|
https://github.com/masilab/3dux-net
|
https://paperswithcode.com/paper/3d-ux-net-a-large-kernel-volumetric-convnet
|
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
|
2209.15076
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/rowl1ng/3dsketch2shape
|
https://paperswithcode.com/paper/3d-vr-sketch-guided-3d-shape-prototyping-and
|
3D VR Sketch Guided 3D Shape Prototyping and Exploration
|
2306.10830
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/ethz-asl/3d_vsg
|
https://paperswithcode.com/paper/3d-vsg-long-term-semantic-scene-change
|
3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs
|
2209.07896
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/gzq17/weakly-supervised-by-mip
|
https://paperswithcode.com/paper/3d-vascular-segmentation-supervised-by-2d
|
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity Projection
|
2402.12128
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/chinmay5/vessel_diffuse
|
https://paperswithcode.com/paper/3d-vessel-graph-generation-using-denoising
|
3D Vessel Graph Generation Using Denoising Diffusion
|
2407.05842
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/Zhentao-Liu/VPAL
|
https://paperswithcode.com/paper/3d-vessel-reconstruction-from-sparse-view
|
3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning
|
2405.10705
|
none
|
β
Official
|
π On GitHub
|
https://github.com/jiaweihe1996/ba-det
|
https://paperswithcode.com/paper/3d-video-object-detection-with-learnable
|
3D Video Object Detection with Learnable Object-Centric Global Optimization
|
2303.15416
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/xuanhuang0/vanerf
|
https://paperswithcode.com/paper/3d-visibility-aware-generalizable-neural
|
3D Visibility-aware Generalizable Neural Radiance Fields for Interacting Hands
|
2401.00979
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/idejie/3DSyn
|
https://paperswithcode.com/paper/3d-vision-and-language-pretraining-with-large
|
3D Vision and Language Pretraining with Large-Scale Synthetic Data
|
2407.06084
|
pytorch
|
β
Official
|
β No Mention
|
https://github.com/lahoud/3d-vision-transformers
|
https://paperswithcode.com/paper/3d-vision-with-transformers-a-survey
|
3D Vision with Transformers: A Survey
|
2208.04309
|
none
|
β
Official
|
π In Paper
|
https://github.com/yaochengtang/3d-visual-illusion-depth-estimation
|
https://paperswithcode.com/paper/3d-visual-illusion-depth-estimation
|
3D Visual Illusion Depth Estimation
|
2505.13061
|
none
|
β
Official
|
π In Paper
|
https://github.com/hengli/camodocal
|
https://paperswithcode.com/paper/3d-visual-perception-for-self-driving-cars
|
3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection
|
1708.09839
|
none
|
β
Official
|
π In Paper
|
https://github.com/leeguandong/WCNet-for-HSI
|
https://paperswithcode.com/paper/3d-wavelet-convolutions-with-extended
|
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification
|
2504.10795
|
pytorch
|
β
Official
|
π On GitHub
|
https://github.com/xuxiaoxxxx/3DSS-VLG
|
https://paperswithcode.com/paper/3d-weakly-supervised-semantic-segmentation
|
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance
|
2407.09826
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/simpeg-research/oldenburg-2018-AEM
|
https://paperswithcode.com/paper/3d-electromagnetic-modelling-and-inversion-a
|
3D electromagnetic modelling and inversion: A case for open-source
|
1902.08245
|
none
|
β
Official
|
π In Paper
|
https://github.com/deyht/cianna
|
https://paperswithcode.com/paper/3d-extinction-mapping-of-the-milky-way-using
|
3D extinction mapping of the Milky Way using Convolutional Neural Networks: Presentation of the method and demonstration in the Carina Arm region
|
2201.05571
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/yangpl/libemmi
|
https://paperswithcode.com/paper/3d-fictitious-wave-domain-csem-inversion-by
|
3D fictitious wave domain CSEM inversion by adjoint source estimation
|
2211.16665
|
none
|
β
Official
|
π In Paper
|
https://github.com/stegmaierj/CellSynthesis
|
https://paperswithcode.com/paper/3d-fluorescence-microscopy-data-synthesis-for
|
3D fluorescence microscopy data synthesis for segmentation and benchmarking
|
2107.10180
|
pytorch
|
β
Official
|
π In Paper
|
https://github.com/kaiekubjas/3d-genome-reconstruction-from-partially-phased-hic-data
|
https://paperswithcode.com/paper/3d-genome-reconstruction-from-partially
|
3D genome reconstruction from partially phased Hi-C data
|
2301.11764
|
none
|
β
Official
|
π In Paper
|
Subsets and Splits
Unique ArXiv IDs in Train Data
Identifies and retrieves records of papers that appear only once in the dataset, helping to understand unique entries.