Hand Pose Estimation
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Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-REN )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BatFaceWayne/POV_Surgery
공식 코드POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
https://github.com/DART2022/DART
공식 코드DART: Articulated Hand Model with Diverse Accessories and Rich Textures
https://github.com/DCVL-3D/PointHMR_release
공식 코드Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
https://github.com/Elody-07/AWR-Adaptive-Weighting-Regression
공식 코드AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
https://github.com/HowieMa/NSRMhand
공식 코드Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
https://github.com/IRVLUTD/HO-Cap
공식 코드https://github.com/IcarusWizard/PixelwiseRegression
공식 코드https://github.com/Jiaxin-Lu/ugg
공식 코드https://github.com/Johann-Huber/qd_grasp
공식 코드Toward a Plug-and-Play Vision-Based Grasping Module for Robotics
https://github.com/KevinKecc/SRN
공식 코드SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond
https://github.com/LyuJ1998/HandTailor
공식 코드HandTailor: Towards High-Precision Monocular 3D Hand Recovery
https://github.com/MandyMo/HAMR
공식 코드https://github.com/MandyMo/HIU-DMTL
공식 코드https://github.com/MichiganCOG/Surgical_Hands_RELEASE
공식 코드Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
https://github.com/NVlabs/contact_graspnet
공식 코드Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
https://github.com/NVlabs/dex-ycb-toolkit
공식 코드https://github.com/SeanChenxy/HandMesh
공식 코드Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
https://github.com/StanfordMSL/Splat-MOVER
공식 코드Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting
https://github.com/THU-VCLab/HGGD
공식 코드Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
https://github.com/TerenceCYJ/S2HAND
공식 코드Model-based 3D Hand Reconstruction via Self-Supervised Learning
https://github.com/YadiraF/PIXIE
공식 코드Collaborative Regression of Expressive Bodies using Moderation
https://github.com/adwardlee/renderih
공식 코드RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
https://github.com/amathislab/hoisdf
공식 코드HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
https://github.com/apple/ml-fastvit
공식 코드FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
https://github.com/ataboukhadra/thor-net
공식 코드https://github.com/changlongjianggit/a2j-transformer
공식 코드https://github.com/cpantazop/handrepo
공식 코드Monocular 3D Hand Pose Estimation with Implicit Camera Alignment
https://github.com/cwc1260/handdagt
공식 코드HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
https://github.com/cwc1260/handdiff
공식 코드HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
https://github.com/cwc1260/handfold
공식 코드https://github.com/dahiyaaneesh/peclr
공식 코드https://github.com/deepwise888/ochid-fi
공식 코드OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision
https://github.com/delaprada/handsynthesis
공식 코드Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
https://github.com/deyingk/agmn
공식 코드https://github.com/doughtmw/hmd-ego-pose
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.