dongzhuoyao/motionfm
A pytorch implementation of paper "Motion Flow Matching for Human Motion Synthesis and Editing"
This tool helps animators and researchers create or modify human motion sequences based on textual descriptions. You input text prompts describing a desired action, and it generates realistic 3D human motion. It's designed for professionals working with character animation, virtual environments, or motion studies.
No commits in the last 6 months.
Use this if you need to quickly generate or adapt complex human motion from simple text commands for animation projects or research.
Not ideal if you need fine-grained, manual control over every joint movement or are working with non-human subjects.
Stars
46
Forks
2
Language
Python
License
MIT
Category
Last pushed
Apr 17, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/dongzhuoyao/motionfm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
milad1378yz/MOTFM
Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality
OpenImagingLab/FlashVSR
[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient...
X-GenGroup/Flow-Factory
A unified framework for easy reinforcement learning in Flow-Matching models
fallenshock/FlowEdit
Official implementation of the paper: "FlowEdit: Inversion-Free Text-Based Editing Using...
haidog-yaqub/MeanFlow
Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling"...