https://github.com/llSourcell/3D_Pose_Estimation
A simple yet effective baseline for 3d human pose estimation
Papers with Code 아카이브
Monocular 3D Human Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 52
This task targets at 3D human pose estimation with a single RGB camera.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lncarter/Dencepose
https://github.com/lrxjason/Attention3DHumanPose
https://github.com/mehtadushy/SelecSLS-Pytorch
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
https://github.com/mengyingfei/pose-3d-pytorch-ros
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/mikeshihyaolin/pose-hg-3d-preprocessing
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/nish-97v/3D-human-pose-estimation
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/nkolot/GraphCMR
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
https://github.com/oli4jansen/VIBE_old
VIBE: Video Inference for Human Body Pose and Shape Estimation
https://github.com/open-mmlab/mmpose
A simple yet effective baseline for 3d human pose estimation
https://github.com/osmr/imgclsmob
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
https://github.com/ostadabbas/infant-postural-symmetry
https://github.com/otaheri/GOAL
https://github.com/philipNoonan/OPVP3D
3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/raymondyeh07/chirality_nets
3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/romanus/code_tekinetal_iccv17
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation
https://github.com/russoale/hmr2.0
https://github.com/rwightman/pytorch-image-models
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
https://github.com/satyaborg/pose-estimation-detection
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/serviceberry3/3d-pose-baseline_android
A simple yet effective baseline for 3d human pose estimation
https://github.com/sgoldyaev/DeepFashion.ADGAN
https://github.com/sidify/3d-pose-estimation
A simple yet effective baseline for 3d human pose estimation
https://github.com/sidsunny/human-pose-estimation-mlsp
A simple yet effective baseline for 3d human pose estimation
https://github.com/sjtuxcx/ITES
3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/sourabhagrawal23/human-action-classification
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/stimong/DensePose_python3
https://github.com/sudarsanGyrus/3D_Pose_VIBE
VIBE: Video Inference for Human Body Pose and Shape Estimation
https://github.com/svikramank/DensePose
https://github.com/swathi-469/Teresa-Bot
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/tamasino52/Any-GCN
Semantic Graph Convolutional Networks for 3D Human Pose Regression
https://github.com/tamasino52/UGCN
https://github.com/thuxyz19/test
3D Human Pose Estimation with Spatial and Temporal Transformers
https://github.com/ubc-vision/DwNet
https://github.com/vnmr/JointVideoPose3D
3D human pose estimation in video with temporal convolutions and semi-supervised training
https://github.com/xingyizhou/pytorch-pose-hg-3d
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
https://github.com/xiuyu0000/new_papers_codes/tree/main/cmr
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.