menyifang/MIMO

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1578 stars · 72 forks observed · 2026-08-28

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

MIMO is the official PyTorch implementation of a CVPR 2025 paper on controllable character video synthesis using spatially decomposed modeling with diffusion models. It animates a single character image using driving 3D poses or in-the-wild videos, with controllable character, motion, and scene attributes.

Use cases

• animate a character image with 3D pose sequences from motion datasets
• generate character videos driven by in-the-wild videos
• control character appearance, motion, and scene independently in video synthesis
• create talking or moving avatar videos from a single photo
• reproduce research results for controllable video synthesis

When to choose

• you need research-grade controllable character video generation from a single image
• you want to animate characters with 3D pose or video drivers
• you have access to high-end GPUs like A100 or L20

When to avoid

• you lack a CUDA GPU with substantial VRAM
• you need a production-ready end-user application rather than research code
• you need real-time performance on consumer hardware

Facets

library · maturity active

video-processing image-processing machine-learning deep-learning computer-vision artificial-intelligence deep-learning python diffusion-models character-animation human-animation video-generation pose-driven-animation research-code cvpr-2025 video gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="menyifang/MIMO")