Unity Machine Learning Agents Toolkit
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Updated
Jun 6, 2020 - Python
Unity Machine Learning Agents Toolkit
Blender addon streamlining the process of attaching animations to characters with option for root movement removal.
This project is dedicated to advancing the field of animatronic robots by enabling them to generate lifelike facial expressions, pushing the boundaries of what's possible in human-robot interaction.
A Python library for working with motion data in numpy or PyTorch
Official implementation of "Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model"
[NeurIPS 2023] InsActor: Instruction-driven Physics-based Characters
Real-time physics for Maya
[NeurIPS 2020] Official PyTorch Implementation of "Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis". NeurIPS 2020.
A motion generation model learned from a single example [SIGGRAPH 2022]
Official implementation of "En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data"
A deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video [ToG 2020]
An end-to-end library for automatic character rigging, skinning, and blend shapes generation, as well as a visualization tool [SIGGRAPH 2021]
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
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