https://github.com/ZHONGCHUYUN/3d_pose_baseline_tf
A simple yet effective baseline for 3d human pose estimation
Papers with Code 아카이브
3D Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision , ECCV'20
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/abhi1kumar/hrnet_pose_single_gpu
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/ahmedosman/STAR
VIBE: Video Inference for Human Body Pose and Shape Estimation
https://github.com/ailingzengzzz/Split-and-Recombine-Net
A simple yet effective baseline for 3d human pose estimation
https://github.com/airalcorn2/pytorch-ipdf
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
https://github.com/amakadia/svd_for_pose
https://github.com/anfidthtn/HAC
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/anibali/h36m-fetch
https://github.com/anshky/HR-NET
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/ataata107/Research-Papers-Implementations/tree/master/Single-shot%20multi%20person%203d%20body%20pose
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
https://github.com/atomicarchitects/equiformer_v2
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
https://github.com/axinc-ai/ailia-models/tree/master/pose_estimation_3d/blazepose-fullbody
https://github.com/baoshengyu/deep-high-resolution-net.pytorch
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/bo-zhang-cs/CACNet-Pytorch
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
https://github.com/chenchao15/2d_projection_matching
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
https://github.com/chengche6230/rest
https://github.com/chuanqichen/deepcoaching
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/chuxiaoselena/SparsenessMeetsDeepness
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
https://github.com/d-shivam/Pose-estimation-based-action-recognition-for-help-Situation-Identification
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/darkAlert/vibe-rt
VIBE: Video Inference for Human Body Pose and Shape Estimation
https://github.com/denilson020898/baseline_3d_pose
A simple yet effective baseline for 3d human pose estimation
https://github.com/dineshreddy91/Occlusion_Net
https://github.com/dluvizon/deephar
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
https://github.com/dronefreak/human-action-classification
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
https://github.com/ducongju/HRNet
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/eldar/differentiable-point-clouds
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
https://github.com/garfield-kh/posetriplet
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
https://github.com/garyzhao/SemGCN
A simple yet effective baseline for 3d human pose estimation
https://github.com/gasteigerjo/ocp
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
https://github.com/geaxgx/depthai_blazepose
https://github.com/gidobot/SilhoNet
https://github.com/google-research/google-research/tree/master/poem
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
https://github.com/goutern/PoseEstimation
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/gox-ai/hrnet-pose-api
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/grossjohannes/AlignNet-3D
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
https://github.com/h44rd/PoseTransferMayaPlugin
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.