What is this?
A curated collection of papers and resources on Diffusion Models, covering theory, applications, and related research.
A curated collection of papers and resources on Diffusion Models, covering theory, applications, and related research.Is this a code library or just a list of papers?It is a curated list (awesome-list) of academic papers and resources, not a code library or runnable tool.
It is a curated list (awesome-list) of academic papers and resources, not a code library or runnable tool.How is the list organized?Papers are grouped by topic such as vision, text-to-image, score-based methods, and other applications of diffusion models, each with links to the paper and often code.
Papers are grouped by topic such as vision, text-to-image, score-based methods, and other applications of diffusion models, each with links to the paper and often code.Are entries vetted or is it still updated?It is a community-maintained, growing collection; coverage depends on contributions, so it may lag behind the newest arXiv releases.
It is a community-maintained, growing collection; coverage depends on contributions, so it may lag behind the newest arXiv releases.Where should a beginner start in this list?Start with the foundational score-based and diffusion model papers listed near the top of the README before moving into application-specific sections like image synthesis or text-to-image.
Start with the foundational score-based and diffusion model papers listed near the top of the README before moving into application-specific sections like image synthesis or text-to-image.Does it include code links, not just paper titles?Many entries link to both the paper and its official or community code implementation when available.
Many entries link to both the paper and its official or community code implementation when available.Why focus specifically on diffusion models?Diffusion and score-based generative models became a dominant approach in generative AI, so the list centralizes fast-growing research in one place for easy reference.
Diffusion and score-based generative models became a dominant approach in generative AI, so the list centralizes fast-growing research in one place for easy reference.What are similar projects?awesome-deep-vision, awesome-computer-vision, the-gan-zoo, denoising-diffusion-pytorch, TRELLIS.2, Colab-notebooks, latent-diffusion, stable-diffusion
awesome-deep-vision, awesome-computer-vision, the-gan-zoo, denoising-diffusion-pytorch, TRELLIS.2, Colab-notebooks, latent-diffusion, stable-diffusionWhich topics is it in?generative-model, papers, text-to-image, diffusion-models, academic-research, image-generation, artificial-intelligence, generative-ai, computer-vision, html, awesome-list, list
generative-model, papers, text-to-image, diffusion-models, academic-research, image-generation, artificial-intelligence, generative-ai, computer-vision, html, awesome-list, list