https://github.com/qq456cvb/pace
공식 코드PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments
Papers with Code 아카이브
Pose Tracking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/qrzou/parco
공식 코드https://github.com/rohollahhs/bad
공식 코드BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
https://github.com/s-jingtao/ick-track
공식 코드Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker
https://github.com/shivangi-aneja/FaceTalk
공식 코드FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
https://github.com/shubham-goel/4D-Humans
공식 코드Humans in 4D: Reconstructing and Tracking Humans with Transformers
https://github.com/sigal-raab/modi
공식 코드https://github.com/steve-tod/stfc3
공식 코드Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
https://github.com/steve-zeyu-zhang/MotionAnything
공식 코드https://github.com/steve-zeyu-zhang/MotionMamba
공식 코드https://github.com/synthesiaresearch/humanrf
공식 코드HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
https://github.com/taatiteam/pose2gait_public
공식 코드Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia
https://github.com/tr3e/intergen
공식 코드InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions
https://github.com/tum-vision/devo
공식 코드https://github.com/twyncoder/vidimu-tools
공식 코드https://github.com/ubisoftinc/Ubisoft-LaForge-Animation-Dataset
공식 코드https://github.com/una-dinosauria/human-motion-prediction
공식 코드https://github.com/vita-epfl/motion-style-transfer
공식 코드Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
https://github.com/vitae-transformer/aptv2
공식 코드APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
https://github.com/vlsomers/bpbreid
공식 코드https://github.com/vlsomers/keypoint_promptable_reidentification
공식 코드https://github.com/wenbowen123/BundleTrack
공식 코드BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
https://github.com/wenbowen123/catgrasp
공식 코드You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
https://github.com/wenbowen123/iros20-6d-pose-tracking
공식 코드se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
https://github.com/windvchen/sitcom-crafter
공식 코드Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes
https://github.com/wyysf-98/GenMM
공식 코드Example-based Motion Synthesis via Generative Motion Matching
https://github.com/xiaoxiaoxh/GarmentTracking
공식 코드https://github.com/xuehao-gao/guess
공식 코드GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation
https://github.com/yhzhai/atom
공식 코드https://github.com/yzshi5/gm-gano
공식 코드https://github.com/zcymonkey/attt2m
공식 코드AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
https://github.com/zhenzhiwang/intercontrol
공식 코드InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
https://github.com/zhicongsun/d4dgs-slam
공식 코드Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAM
https://github.com/zibin6/se6pt
공식 코드Stereo Event-based, 6-DOF Pose Tracking for Uncooperative Spacecraft
https://github.com/zixiangzhou916/ude
공식 코드https://github.com/2023-MindSpore-1/ms-code-216/tree/main/simple_baselines
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.