https://github.com/BatFaceWayne/POV_Surgery
공식 코드POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
Papers with Code 아카이브
3D Hand Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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Image: Zimmerman et l
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/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/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/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/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/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/delaprada/handsynthesis
공식 코드Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
https://github.com/facebookresearch/body2hands
공식 코드Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics
https://github.com/facebookresearch/frankmocap
공식 코드FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
https://github.com/fanglinpu/JGR-P2O
공식 코드https://github.com/florasion/d-vqvae
공식 코드Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
https://github.com/fylwen/htt
공식 코드https://github.com/hassony2/homan
공식 코드Towards unconstrained joint hand-object reconstruction from RGB videos
https://github.com/hongsukchoi/Pose2Mesh_RELEASE
공식 코드Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
https://github.com/humansensinglab/Hamba
공식 코드Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
https://github.com/hxwork/handbooster_pytorch
공식 코드https://github.com/hzwang96/pegg-net
공식 코드PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
https://github.com/iscas3dv/handpose-virtualview
공식 코드Efficient Virtual View Selection for 3D Hand Pose Estimation
https://github.com/ivalab/kgn
공식 코드Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.