- Tokyo, Japan
- https://twitter.com/anamorphobia
Highlights
- Pro
ML/MotionSynthesis
Official implementation of the paper "FLAME: Free-form Language-based Motion Synthesis & Editing"
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃
🏃♀️ A curated list about human motion capture, analysis and synthesis.
Motion Puzzle - Official PyTorch implementation
[SIGGRAPH 2022] ARTEMIS, a novel neural modeling and rendering pipeline for generating ARTiculated neural pets with appEarance and Motion synthesIS.
(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model