Home Projects MM-Diffusion
MM-Diffusion
Python

MM-Diffusion

[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

by researchmm · GitHub
Stars
Forks
License
Created
Last commit
Language
audio-generationcontent-creationdiffusion-modelsMITPython
View on GitHub
In plain words

Generate synchronized audio and video content using a new AI model designed for both media types.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
MM-Diffusion — GitHub preview card
📈 Star history
454453
2026-07-202026-08-31
📈 Track MM-Diffusion

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

MM-Diffusion has 453 stars on GitHub. It has been forked 24 times. MM-Diffusion is written mainly in Python. It has been in active development since 2022. MM-Diffusion is available under the MIT license. Its main topics are audio-generation, content-creation, diffusion-models, multi-modality.

Frequently asked questions

What is MM-Diffusion?

[CVPR'23] MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation

Is MM-Diffusion open source?

MM-Diffusion is an open-source project. It is released under the MIT license.

Is MM-Diffusion free?

Yes. MM-Diffusion is free and open source — you can use, modify and self-host it.

What license does MM-Diffusion use?

MM-Diffusion is available under the MIT license.

What language is MM-Diffusion written in?

MM-Diffusion is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — MM-Diffusion

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=researchmm-mm-diffusion)](https://olud.ai/project/researchmm-mm-diffusion.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.