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

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

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

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

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

(ECCV 2024) SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark

The Fast Way From Vertices to Parametric 3D Humans

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

Fit an SMPL body model to a scan

Smplify-X implementation. (2025. 01. 14 No Error & Recent version)

Fine-tuned LLMs generate accurate 3D human avatars from textual descriptions using the SMPL-X model, enhancing customization and simulation in virtual environments.

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

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

AR visualization of The Wanderings of Odysseus

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