AudioGenerationDiffusion

AUDIO GENERATION WITH DIFFUSION MODELS

This repository is maintained by Carlos Hernández-Oliván(carloshero@unizar.es) and it presents the State of the Art of Audio Generation with Diffusion models.

Make a pull request if you want to contribute to this references list.

All the images belong to their corresponding authors.

Table of Contents

1. Papers
   • 2022
   • 2021

2. Diffusion theory papers

3. Resources

1. Papers

2022

MM-Diffusion

Ruan, Ludan and Ma, Yiyang and Yang, Huan and He, Huiguo and Liu, Bei and Fu, Jianlong and Yuan, Nicholas Jing and Jin, Qin and Guo, Baining. (2022). MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation.

Paper GitHub

2021

Diffwave (ICLR 2021)

Kong, Z., Ping, W., Huang, J., Zhao, K., & Catanzaro, B. (2020). Diffwave: A versatile diffusion model for audio synthesis. ICLR 2021.

Paper

2. Theory

3. Resources

• Lil’s blog diffusion

↑ Table of Contents