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A collection of resources and papers on Diffusion Models
| Date | Stars |
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| 2026-07-31 | 12366 |
| 2026-08-01 | 12366 |
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| 2026-09-19 | 12372 |
| 2026-09-20 | 12371 |
Today
-1 stars today
This week
+2 stars this week
This month
+7 stars this month
Momentum
0.0
growth rate 0.02%/day
[](https://github.com/hee9joon/Awesome-Diffusion-Models)
[](https://opensource.org/licenses/MIT)
[](https://github.com/chetanraj/awesome-github-badges)
This repository contains a collection of resources and papers on ***Diffusion Models***.
Please refer to [this page](https://diff-usion.github.io/Awesome-Diffusion-Models/) as this page may not contain all the information due to page constraints.
## Contents
- [Resources](#resources)
- [Introductory Posts](#introductory-posts)
- [Introductory Papers](#introductory-papers)
- [Introductory Videos](#introductory-videos)
- [Introductory Lectures](#introductory-lectures)
- [Tutorial and Jupyter Notebook](#tutorial-and-jupyter-notebook)
- [Papers](#papers)
- [Survey](#survey)
- [Vision](#vision)
- [Generation](#generation)
- [Classification](#classification)
- [Segmentation](#segmentation)
- [Image Translation](#image-translation)
- [Inverse Problems](#inverse-problems)
- [Medical Imaging](#medical-imaging)
- [Multi-modal Learning](#multi-modal-learning)
- [3D Vision](#3d-vision)
- [Adversarial Attack](#adversarial-attack)
- [Miscellany](#miscellany)
- [Audio](#audio)
- [Generation](#generation-1)
- [Conversion](#conversion)
- [Enhancement](#enhancement)
- [Separation](#separation)
- [Text-to-Speech](#text-to-speech)
- [Miscellany](#miscellany-1)
- [Natural Language](#natural-language)
- [Tabular and Time Series](#tabular-and-time-series)
- [Generation](#generation-2)
- [Forecasting](#forecasting)
- [Imputation](#imputation)
- [Miscellany](#miscellany-2)
- [Graph](#graph)
- [Generation](#generation-3)
- [Molecular and Material Generation](#molecular-and-material-generation)
- [Reinforcement Learning](#reinforcement-learning)
- [Theory](#theory)
- [Applications](#applications)
# Resources
## Introductory Posts
**:fast_forward: DiffusionFastForward: 01-Diffusion-Theory** \
*Mikolaj Czerkawski (@mikonvergence)* \
[[Website](https://github.com/mikonvergence/DiffusionFastForward/blob/master/notes/01-Diffusion-Theory.md)] \
4 Feb 2023
**How diffusion models work: the math from scratch** \
*Sergios Karagiannakos,Nikolas Adaloglou* \
[[Website](https://theaisummer.com/diffusion-models/?fbclid=IwAR1BIeNHqa3NtC8SL0sKXHATHklJYphNH-8IGNoO3xZhSKM_GYcvrrQgB0o)] \
24 Sep 2022
**A Path to the Variational Diffusion Loss** \
*Alex Alemi* \
[[Website](https://blog.alexalemi.com/diffusion.html)] [[Colab](https://colab.research.google.com/github/google-research/vdm/blob/main/colab/SimpleDiffusionColab.ipynb)] \
15 Sep 2022
**The Annotated Diffusion Model** \
*Niels Rogge, Kashif Rasul* \
[[Website](https://huggingface.co/blog/annotated-diffusion)] \
06 Jun 2022
**The recent rise of diffusion-based models** \
*Maciej Domagała* \
[[Website](https://maciejdomagala.github.io/generative_models/2022/06/06/The-recent-rise-of-diffusion-based-models.html)] \
06 Jun 2022
**Introduction to Diffusion Models for Machine Learning** \
*Ryan O'Connor* \
[[Website](https://www.assemblyai.com/blog/diffusion-models-for-machine-learning-introduction/)] \
12 May 2022
**Improving Diffusion Models as an Alternative To GANs** \
*Arash Vahdat and Karsten Kreis* \
[[Website-Part 1](https://developer.nvidia.com/blog/improving-diffusion-models-as-an-alternative-to-gans-part-1/)] [[Website-Part 2](https://developer.nvidia.com/blog/improving-diffusion-models-as-an-alternative-to-gans-part-2/)] \
26 Apr 2022
**An introduction to Diffusion Probabilistic Models** \
*Ayan Das* \
[[Website](https://ayandas.me/blog-tut/2021/12/04/diffusion-prob-models.html)] \
04 Dec 2021
**Introduction to deep generative modeling: Diffusion-based Deep Generative Models** \
*Jakub Excerpt of 511,759 characters
Read on GitHub
112
95
Zeqiang Lai · @Tencent-Hunyuan; prev @OpenGVLab
4
Ayan Das · Huawei R&D UK · United Kingdom
2
China
2
2
2
2
1
1
Asterisk Labs
1
1
Tiankai Hang · Southeast University & MSRA
1
Omri Avrahami · The Hebrew University of Jerusalem
1
1
1
Vikash Sehwag · Princeton University
1
Tanishq Abraham
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:71502abaf71d805a, topic:diffusion-models