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Pose Tracking

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하위 태스크: 1
평가표: 3
보존된 평가 기록: 16

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/2023-MindSpore-4/Code11/tree/main/simple_baselines

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/Abdullah-Abuolaim/defocus-deblurring-dual-pixel

Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels

https://github.com/Abdullah-Abuolaim/multi-task-defocus-deblurring-dual-pixel-nimat

Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels

https://github.com/Abdullah-Abuolaim/recurrent-defocus-deblurring-synth-dual-pixel

Multi-View Motion Synthesis via Applying Rotated Dual-Pixel Blur Kernels

https://github.com/CASIA-IVA-Lab/ISP-reID

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/ChillTerry/GS-EVT

GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian Splatting

https://github.com/CuberrChen/HumanPoseBL-Paddle

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/DeepMotionEditing/deep-motion-editing

Skeleton-Aware Networks for Deep Motion Retargeting

https://github.com/Djmcflush/Funky-Movement

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/EricGuo5513/text-to-motion

https://github.com/HRNet/HRNet-Facial-Landmark-Detection

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Human-Pose-Estimation

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Image-Classification

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-MaskRCNN-Benchmark

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Object-Detection

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/HRNet/HRNet-Semantic-Segmentation

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/Launch-on-Titania/DynOPETs

DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios

https://github.com/Mary-xl/HRnet_Kaggle_iNat2019_FGVC

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/Mathux/TMR

TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis

https://github.com/MegEngine/Models/tree/master/official/vision/keypoints

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/Mind23-2/MindCode-77

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/NU-LL/lighttrack-

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/NVlabs/CenterPose

Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation

https://github.com/NVlabs/PAMTRI

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/PaddlePaddle/PaddleDetection

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/RasmusRPaulsen/Deep-MVLM

Multi-view consensus CNN for 3D facial landmark placement

https://github.com/Sohojoe/ActiveRagdollStyleTransfer

DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

https://github.com/SunJuil-Ty/simplebaselines-mindspore

Simple Baselines for Human Pose Estimation and Tracking

https://github.com/ThomasDupiereux/hpgan

HP-GAN: Probabilistic 3D human motion prediction via GAN

https://github.com/TianxingChen/RoboTwin

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation

https://github.com/Unity-Technologies/marathon-envs

DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills

https://github.com/VNOpenAI/tf-blazepose

BlazePose: On-device Real-time Body Pose tracking

https://github.com/Vill-Lab/2022-TIP-HCGA

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/YQRickWang/Motion_Prediction

On human motion prediction using recurrent neural networks

https://github.com/YQRickWang/tf

On human motion prediction using recurrent neural networks

https://github.com/abhi1kumar/hrnet_pose_single_gpu

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.