wangkai930418/awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
This is a curated collection of research papers and associated resources (like code and project pages) focused on diffusion models, organized by specific sub-areas of application. It helps researchers, engineers, and practitioners navigate the rapidly evolving field of generative AI by providing a structured overview of advancements in areas like visual illusion creation, color control in image generation, and specific image restoration tasks. The resource takes in the broad field of diffusion model research and outputs categorized lists of relevant papers and their implementations, serving those who develop, apply, or study generative AI for image and visual media.
2,168 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you are a researcher or practitioner in generative AI looking to quickly find relevant papers and resources within a specific sub-domain of diffusion models, such as image restoration or visual illusion generation.
Not ideal if you are looking for a general introduction to diffusion models or a tutorial on how to implement them, as it focuses on specific research advancements rather than foundational learning.
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