[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
-
Updated
Nov 23, 2023 - Python
[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
Towards Robust 3D Body Mesh Inference of Partially-observed Humans: semester project at ETH Zurich
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
Code to construct textured deformed SMPL-X meshes for HUMBI data
Smplify-X implementation. (2024. 07. 21 No Error & Recent version)
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.
Simple 3D rendering of hand-object interactions for the ARCTIC dataset
3D aware implicit Generative Adversarial Network
Add a description, image, and links to the smplx topic page so that developers can more easily learn about it.
To associate your repository with the smplx topic, visit your repo's landing page and select "manage topics."