[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

[CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration

ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor

[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"

ExPose - EXpressive POse and Shape rEgression

[CVPR 2023] Official repository for downloading, processing, visualizing, and training models on the ARCTIC dataset.

[ICML 2024] 🍅HumanTOMATO: Text-aligned Whole-body Motion Generation

[TPAMI 2023] PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images

Our model BUDDI learns the joint distribution of interacting people

[CVPR 2024] AMUSE: Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion

SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark

Towards Robust 3D Body Mesh Inference of Partially-observed Humans: semester project at ETH Zurich

Fit an SMPL body model to a scan

The Fast Way From Vertices to Parametric 3D Humans

Smplify-X implementation. (2024. 08. 30 No Error & Recent version)

Code to construct textured deformed SMPL-X meshes for HUMBI data

AR visualization of The Wanderings of Odysseus

[ECCV 24 wksp] Pose-independent 3D Anthropometry from Sparse Data

A 100% compatiable SMPL,SMPL-H,SMPL-X model implemention in C++ with CUDA support. Same api with python smplx.

This project was born out of a passion for computer vision and 3D human modeling. It explores the power of SMPLX for body shape representation and demonstrates its application in generating realistic 3D avatars from simple measurements.