Lists (3)
Stars
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
https://huyenchip.com/ml-interviews-book/
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
ScoreHMR: Score-Guided Diffusion for 3D Human Recovery (CVPR 2024)
Smplify-X implementation. (2025. 04. 07 No Error & Recent version)
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
[ECCV 2024] Official Code for "WHAC: World-grounded Humans and Cameras"
[NeurIPS 2023] Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
[ECCV 2024] Official implementation of the paper "GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views"
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
OpenXRLab Synthetic Data Rendering Toolbox
[Arxiv-2024] MotionLLM: Understanding Human Behaviors from Human Motions and Videos
[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
Official code for "SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation"
[ICLR2025] Nonrigid registration, Unsupervised optimization
EternalEvan / DPMesh
Forked from RammusLeo/DPMeshThe repository contains the official implementation of "DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery", CVPR 2024
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
A generative world for general-purpose robotics & embodied AI learning.