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Hand

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/midusi/convolutional_handshape

https://github.com/mjdietzx/SimGAN

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/multimodallearning/hand-gesture-posture-position

https://github.com/nanzhaogang/contrib/tree/master/application/weakly-supervised-mesh-convolutional-hand-reconstruction-in-the-wild

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild

https://github.com/nkolot/GraphCMR

Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

https://github.com/open-mmlab/mmaction2

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/open-mmlab/mmpose

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/otaheri/GrabNet

GRAB: A Dataset of Whole-Body Human Grasping of Objects

https://github.com/patiencefromzhou/simplehand

1st Place Solution of Egocentric 3D Hand Pose Estimation Challenge 2023 Technical Report:A Concise Pipeline for Egocentric Hand Pose Reconstruction

https://github.com/paty0504/SIGNTEGRATE

Make Skeleton-based Action Recognition Model Smaller, Faster and Better

https://github.com/pedrobvidal/insightface

3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic Views

https://github.com/piergiaj/pytorch-i3d

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/poier/PreView

Learning Pose Specific Representations by Predicting Different Views

https://github.com/poier/murauer

MURAUER: Mapping Unlabeled Real Data for Label AUstERity

https://github.com/prinshul/GWSDR

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

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

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

https://github.com/rickyhan/SimGAN-Captcha

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/russoale/hmr2.0

End-to-end Recovery of Human Shape and Pose

https://github.com/rvorias/uvHolographics

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/sbhonde1/Multimodal-Learning

Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training

https://github.com/sebastiantiesmeyer/deeplabchop3d

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/sgoldyaev/DeepFashion.ADGAN

Pose Guided Person Image Generation

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

Cross-modal Deep Variational Hand Pose Estimation

https://github.com/taeinkwon/CASA

Context-Aware Sequence Alignment using 4D Skeletal Augmentation

https://github.com/theerapatkitti/hand_mask_rcnn

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/theone1984/hand-gesture-ai

Learning to Estimate 3D Hand Pose from Single RGB Images

https://github.com/ut-vision/actionvos

Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation

https://github.com/vijayvee/behavior-recognition

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/vijayvee/behavior_recognition

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

https://github.com/woodfrog/ActionRecognition

Two-Stream Convolutional Networks for Action Recognition in Videos

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.