https://github.com/aimerykong/predictive-filter-flow
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
Papers with Code 아카이브
Pose Tracking
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Pose Tracking is the task of estimating multi-person human poses in videos and assigning unique instance IDs for each keypoint across frames. Accurate estimation of human keypoint-trajectories is useful for human action recognition, human interaction understanding, motion capture and animation.
Source: LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/anshky/HR-NET
Deep High-Resolution Representation Learning for Human Pose Estimation
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/bcv-uniandes/bodiffusion
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
https://github.com/bearpaw/pytorch-pose
https://github.com/bestaar/predictiveFilterFlow
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos
https://github.com/cai-jianfeng/ACTOR_mindspore
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE
https://github.com/chuanqichen/deepcoaching
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/code-implementation1/Code8/tree/main/simple_baselines
https://github.com/cvlabbonn/hand_2d_gt_viewer
Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points
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/dog-qiuqiu/MobileNetV2-SimplePose
https://github.com/dog-qiuqiu/Ultralight-SimplePose
https://github.com/ducongju/HRNet
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/ebarsoum/hpgan
https://github.com/enriccorona/human-motion-prediction-pytorch
https://github.com/facebookresearch/DetectAndTrack
https://github.com/facebookresearch/QuaterNet
https://github.com/facebookresearch/multiface
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
https://github.com/fluide1022/MCM
MCM: Multi-condition Motion Synthesis Framework for Multi-scenario
https://github.com/garroud/human-motion-prediction-pytorch
https://github.com/gauraviiita/Visualization-of-Human3.6M-Dataset
https://github.com/geaxgx/depthai_blazepose
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/iqbalu/PoseTrack-CVPR2017
https://github.com/jiang-du/BlazePose-tensorflow
https://github.com/jiashunwang/Long-term-Motion-in-3D-Scenes
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes
https://github.com/jpthu17/graphmotion
https://github.com/jw09191/MNET
https://github.com/k-miran/hear
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/ken724049/action-recognition
PoseTrack: A Benchmark for Human Pose Estimation and Tracking
https://github.com/kenfuliang/Awesome-Reinforcement-Learning
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
https://github.com/kwanyun/FFaceNeRF
AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models
https://github.com/laowang666888/HRNET
Deep High-Resolution Representation Learning for Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.