OpenMotionLab/MotionGPT

Health v2 · maintenance only

Adoption not part of the score

1961 stars · 144 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MotionGPT is a unified motion-language model that treats 3D human motion as a foreign language by converting motion into discrete motion tokens and modeling them alongside text with an LLM. It supports multiple motion tasks including text-to-motion generation, motion captioning, motion prediction, and motion in-betweening.

Use cases

• generate 3d human motion animations from text descriptions
• generate text captions describing human motion sequences
• predict future motion frames from past motion
• fill in missing motion between keyframes
• answer questions about motion sequences with an llm
• research multimodal motion-language models

When to choose

• you need text-to-motion or motion captioning in a research pipeline
• you want a unified model handling multiple motion tasks
• you want a reproducible NeurIPS 2023 baseline for motion-language modeling

When to avoid

• you need production-ready real-time animation tooling
• you lack GPU resources for large model inference
• you need game-engine-native motion synthesis without Python

Facets

library · maturity active

machine-learning deep-learning llm-inference nlp data-generation machine-learning deep-learning large-language-models computer-vision artificial-intelligence python cross-platform text-to-motion motion-generation motion-capture multimodal motion-tokens neurips-2023 research pytorch linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OpenMotionLab/MotionGPT")