https://github.com/nkolot/GraphCMR
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
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/open-mmlab/mmpose
https://github.com/otaheri/GrabNet
https://github.com/patiencefromzhou/simplehand
https://github.com/pedrobvidal/insightface
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views
https://github.com/poier/PreView
Learning Pose Specific Representations by Predicting Different Views
https://github.com/poier/murauer
https://github.com/pwc-1/Paper-5/tree/main/mpt
MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction
https://github.com/pwc-1/Paper-9/tree/main/2/mpt
MPT: Mesh Pre-Training with Transformers for Human Pose and Mesh Reconstruction
https://github.com/pwc-1/Paper-9/tree/main/4/weakly-supervised
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
https://github.com/rajbharat/PoseNet-V2V-Pytorch1.0-Win10
https://github.com/rickyhan/SimGAN-Captcha
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/russoale/hmr2.0
https://github.com/rvorias/uvHolographics
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/shinseung428/simGAN_NYU_Hand
Learning from Simulated and Unsupervised Images through Adversarial Training
https://github.com/shreyashampali/HOnnotate
HOnnotate: A method for 3D Annotation of Hand and Object Poses
https://github.com/shreyashampali/ho3d
HOnnotate: A method for 3D Annotation of Hand and Object Poses
https://github.com/spurra/vae-hands-3d
https://github.com/taeinkwon/CASA
Context-Aware Sequence Alignment using 4D Skeletal Augmentation
https://github.com/theerapatkitti/hand_mask_rcnn
https://github.com/theone1984/hand-gesture-ai
https://github.com/ut-vision/actionvos
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
https://github.com/wozhangzhaohui/HandAugment
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation
https://github.com/xiuyu0000/new_papers_codes/tree/main/cmr
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
https://github.com/yusukey03012/deformer
https://github.com/zerchen/AlignSDF
Grasping Field: Learning Implicit Representations for Human Grasps
https://github.com/zerchen/gSDF
Grasping Field: Learning Implicit Representations for Human Grasps
https://github.com/zhong110020/hand3d
https://github.com/zhouxian/FluidLab
Diffusion-based Generation, Optimization, and Planning in 3D Scenes
https://gitlab.com/birder/birder
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.