Similar to large-language models in NLP, diffusion models have transformed generative modelling in computer vision and other multi-modal domains. The increasing interest in diffusion models is largely due to their simplicity and effectiveness. Anyone can train these models within a few lines of code, and their image quality and diversity are extremely good.
In this post, I list all papers on diffusion models that I could find on arxiv (using arxivscraper). I hope this list will be helpful in tracking exploding number of papers in this area. I intend to keep it updated (and further reduce false positives). If you find any paper missing, please let me know.