https://github.com/vinnik-dmitry07/minimal-hand
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/visionNoob/hrnet_pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/vita-epfl/FG2
https://github.com/vladmandic/blazepose
https://github.com/vnmr/JointVideoPose3D
3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/voidrank/SaccadeNet
https://github.com/vpaliwal1/Deep_learning_SRCNN
https://github.com/vscoboy/AI-
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation
https://github.com/vuanhtu1993/Keras-SRGANs
https://github.com/vuthede/heatmap-based-landmarker
https://github.com/w-sugar/prtr
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/wL1u/CenterNet-VisDrone
https://github.com/wadimkehl/ssd-6d
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
https://github.com/wanggrun/Learning-Feature-Pyramids
https://github.com/wanggrun/Learning-Feature-Pyramids-For-COCO
https://github.com/wanglaotou/centernet_ncnn
https://github.com/wangying-ict/FCN
https://github.com/wangzihanggg/CMCL6D
https://github.com/wangzt-halo/das
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
https://github.com/waspinator/deep-learning-explorer
https://github.com/wbenbihi/hourglasstensorflow
https://github.com/wbenbihi/hourglasstensorlfow
https://github.com/wecacuee/articulated-slam
https://github.com/weitong8591/ars_magsac
https://github.com/weixk2015/DeepSFM
https://github.com/wh1h/DNLN
https://github.com/whffams2/DAG
A comprehensive framework for occluded human pose estimation
https://github.com/why2011btv/6d_pose_estimation
Estimating 6D Pose From Localizing Designated Surface Keypoints
https://github.com/why986/VFA
MMFace4D: A Large-Scale Multi-Modal 4D Face Dataset for Audio-Driven 3D Face Animation
https://github.com/wittmaan/a2d2
https://github.com/wkirgsn/thermal-nn
https://github.com/woven-planet/binghamnll
https://github.com/wozhangzhaohui/HandAugment
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation
https://github.com/wqyin/smplest-x
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
https://github.com/wsjzha/deep-high-resolution-net.pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/wtjiang98/mmpose-gyl
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.