https://github.com/deepmind/Temporal-3D-Pose-Kinetics
공식 코드Exploiting temporal context for 3D human pose estimation in the wild
Papers with Code 아카이브
3D Human Pose Estimation
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- 평가표
- 25
- 보존된 평가 기록
- 447
3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dluvizon/3d-pose-consensus
공식 코드Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
https://github.com/dluvizon/deephar
공식 코드Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
https://github.com/dmklee/image2sphere
공식 코드Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
https://github.com/dmlc/xgboost
공식 코드https://github.com/dominickrei/poseawarevt
공식 코드Seeing the Pose in the Pixels: Learning Pose-Aware Representations in Vision Transformers
https://github.com/donydchen/mvsplat
공식 코드MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
https://github.com/dptech-corp/Uni-Mol
공식 코드Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
https://github.com/drorlab/glow_ives
공식 코드https://github.com/edz-o/3dnbf
공식 코드3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation
https://github.com/ephemeral182/empirical-study-of-gpt-4o-image-gen
공식 코드https://github.com/equinoxxxxx/spn
공식 코드Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
https://github.com/esw0116/DynaVSR
공식 코드https://github.com/eugenelet/crfp
공식 코드Cross-Resolution Flow Propagation for Foveated Video Super-Resolution
https://github.com/eunjnnn/bfstvsr
공식 코드https://github.com/exscientia/plif_validity
공식 코드Assessing interaction recovery of predicted protein-ligand poses
https://github.com/eyalnaor/DeepTemporalSR
공식 코드Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
https://github.com/fabbrimatteo/LoCO
공식 코드Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
https://github.com/fabro66/GAST-Net-3DPoseEstimation
공식 코드A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
https://github.com/facebookresearch/AnimalAvatar
공식 코드Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos
https://github.com/facebookresearch/QuaterNet
공식 코드QuaterNet: A Quaternion-based Recurrent Model for Human Motion
https://github.com/facebookresearch/VideoPose3D
공식 코드3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/facebookresearch/eft
공식 코드Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation
https://github.com/facebookresearch/frankmocap
공식 코드FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
https://github.com/facebookresearch/meshtalk
공식 코드MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
https://github.com/facebookresearch/phosa
공식 코드Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
https://github.com/facebookresearch/pifuhd
공식 코드PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
https://github.com/facebookresearch/projectaria_tools
공식 코드Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
https://github.com/facebookresearch/xR-EgoPose
공식 코드https://github.com/fairydance/deeprli
공식 코드DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction Prediction
https://github.com/fcongrui/3dattgan
공식 코드https://github.com/fedenoce/s2l-s2d
공식 코드Learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation
https://github.com/filipalino/blendmimic3d
공식 코드3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement
https://github.com/filipalino/gcn-pose-refinement
공식 코드3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement
https://github.com/florianlanger/sparc
공식 코드SPARC: Sparse Render-and-Compare for CAD model alignment in a single RGB image
https://github.com/fudan-zvg/efficient4d
공식 코드Efficient4D: Fast Dynamic 3D Object Generation from a Single-view Video
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.