Papers with Code 아카이브
Hand Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/wenbowen123/catgrasp
공식 코드CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
https://github.com/whisperyi/mmvr
공식 코드https://github.com/wholebody3d/wholebody3d
공식 코드https://github.com/wiktormucha/SHARP
공식 코드https://github.com/wiktormucha/effhandegonet
공식 코드In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition
https://github.com/xinghaochen/Pose-REN
공식 코드Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
https://github.com/yihui-he/epipolar-transformers
공식 코드https://github.com/zc-alexfan/digit-interacting
공식 코드Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
https://github.com/zhangboshen/A2J
공식 코드A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
https://github.com/zhehengjianglancaster/amvur
공식 코드https://github.com/zxz267/HaMuCo
공식 코드HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
https://github.com/2023-MindSpore-1/ms-code-27
https://github.com/2023-MindSpore-4/Code-5/tree/main/HMR
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/graphormer
https://github.com/3d-hand-shape/hand-graph-cnn
https://github.com/3huo/Hand-Pointnet
https://github.com/674106399/JointBoneLoss
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/AlexHex7/SimGAN_pytorch
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/ArashHosseini/hand-graph-cnn-gpu
https://github.com/B1ueber2y/NDiv
https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture
Monocular Total Capture: Posing Face, Body, and Hands in the Wild
https://github.com/Chenzhoujia/190916-hand3d-CNN-GNN
https://github.com/DaphneAntotsiou/task-oriented-hand-retargeting
Spatial Attention Deep Net with Partial PSO for Hierarchical Hybrid Hand Pose Estimation
https://github.com/EAST-J/Youtubehand
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/LawrenceZ22/ThermoHands
ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images
https://github.com/Liuxiang0358/HMR
https://github.com/MS-P3/code5/tree/main/graphormer
https://github.com/MandyMo/pytorch_HMR
https://github.com/ManifoldFR/recvis-project
https://github.com/MindCode-4/code-1/tree/main/vit_hybrid
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
https://github.com/MindSpore-paper-code-3/code4/tree/main/HMR
https://github.com/MindSpore-scientific/code-11/tree/main/Simba
https://github.com/MindSpore-scientific/code-13/tree/main/Simba
https://github.com/NVlabs/6dof-graspnet
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
https://github.com/Neilblaze/Aerowave
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.