HumanAIGC/AnimateAnyone

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

14777 stars · 1007 forks observed · 2026-10-17

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Animate Anyone is the official research implementation of a diffusion-based image-to-video synthesis method that animates a static character image using pose sequences for consistent, controllable character animation. It is a research codebase accompanying an arXiv paper from Alibaba's HumanAIGC team.

Use cases

• animate a character photo from a pose video
• generate character animation from a single image
• image-to-video synthesis research
• drive a static character with motion capture poses
• create virtual human dance videos
• reproduce the Animate Anyone paper

When to choose

• you need a reference implementation of pose-driven character animation from a single image
• you are doing research on controllable image-to-video diffusion models
• you want to animate character images with pose sequences on GPU hardware

When to avoid

• you need a production-ready, polished end-user application
• you lack a capable GPU for diffusion model inference
• you want turnkey video generation without model setup and weights

Facets

library · maturity active

video-processing machine-learning deep-learning image-processing artificial-intelligence computer-vision image-processing deep-learning python image-to-video character-animation diffusion-models pose-driven-animation research-code generative-ai video gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HumanAIGC/AnimateAnyone")