steve-zeyu-zhang/MotionMamba
🔥 [ECCV 2024] Motion Mamba: Efficient and Long Sequence Motion Generation
This project helps animators, game developers, or researchers generate realistic and continuous human motion sequences from text descriptions. You input text prompts describing desired movements, and it outputs high-quality, long-duration 3D human motion animations. It's designed for professionals working on character animation, virtual reality experiences, or biomechanical simulations.
144 stars.
Use this if you need to create long, natural-looking human motion sequences efficiently and with high fidelity for animation or digital character development.
Not ideal if you primarily need to analyze existing motion data or only require very short, simple animation snippets.
Stars
144
Forks
3
Language
JavaScript
License
—
Category
Last pushed
Nov 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/steve-zeyu-zhang/MotionMamba"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hao-ai-lab/FastVideo
A unified inference and post-training framework for accelerated video generation.
ModelTC/LightX2V
Light Image Video Generation Inference Framework
thu-ml/TurboDiffusion
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
PKU-YuanGroup/Helios
Helios: Real Real-Time Long Video Generation Model
PKU-YuanGroup/MagicTime
[TPAMI 2025🔥] MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators