Tencent/MimicMotion

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2647 stars · 240 forks observed · 2026-08-28

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

MimicMotion is a diffusion-based framework from Tencent for generating high-quality human motion videos guided by pose sequences, featuring confidence-aware pose guidance and progressive latent fusion for long, temporally smooth videos. It ships as a Python research codebase with pretrained checkpoints published on Hugging Face.

Use cases

• generate videos of a person dancing from a reference image and pose sequence
• animate a static character photo with human motion capture data
• create long, temporally smooth human motion videos with diffusion models
• research controllable pose-guided video generation
• compare pose-driven video generation baselines like MuseV and Magic Dance

When to choose

• you need pose-conditioned human motion video generation with good temporal smoothness
• you want to generate videos of arbitrary length from a single reference image
• you are doing research on diffusion-based video generation and want an ICML-published baseline

When to avoid

• you need general-purpose text-to-video generation without pose guidance
• you lack a GPU or cannot run heavy diffusion inference locally
• you need a production-ready end-user application rather than a research codebase

Facets

library · maturity active

video-processing machine-learning deep-learning image-processing deep-learning computer-vision artificial-intelligence python diffusion-models pose-guided-video-generation human-motion video-generation research video gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tencent/MimicMotion")