[SIGGRAPH2022] Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search

An open-source library for GPU-accelerated robot learning and sim-to-real transfer.

Official Implementation of the ICCV 2023 paper: Perpetual Humanoid Control for Real-time Simulated Avatars

This repository is for fitting mocap data into SMPL-X parameters in [CVPR 2024]"Inter-X: Towards Versatile Human-Human Interaction Analysis".

Minimal, clean, single-file implementations of common robotics controllers in MuJoCo.

These tutorials cover a variety of common robotics tasks and controllers, providing a comprehensive introduction to using Mujoco for robotics simulation. Each tutorial is designed to be self-contai…

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Evaluating GPT-4o's image generation and editing ability in OCR tasks.

An in-game UI for exploring, debugging and modifying IL2CPP and Mono Unity games.

Aitviewer fork supporting the visualization of OpenSim models and SKEL.

Release for the Siggraph Asia 2023 SKEL paper "From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans".

A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU par…

GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.

From expressive code to powerful GUIs in no time: a fast, feature-rich, cross-platform toolkit for C++ & Python.

Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.

Cython-based Python bindings for dear imgui

A debugging and profiling tool that can trace and visualize python code execution

Official implementation of "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"

Read, write, edit and create .bvh files with hierarchical 3D transforms

A simple viewer for the .bvh animation file format written using raylib.

Solving Optical MoCap Automatically

Motion and Shape Capture from Sparse Markers

SMPL body model layer for PyTorch

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

Data preparation and loader for AMASS

https://hrl.boyuai.com/

Read-in the MAT. structure in Python to support further analysis. Created for the van Criekinge: A full-body motion capture gait dataset of 138 able-bodied adults across the life span and 50 stroke…