awesome-diffusion-categorized and Diffusion-Models-Papers-Survey-Taxonomy
About awesome-diffusion-categorized
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.
About Diffusion-Models-Papers-Survey-Taxonomy
YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
This resource provides a curated collection and taxonomy of research papers on diffusion models. It helps researchers, PhD students, and practitioners navigate the rapidly evolving field of generative AI by categorizing papers based on algorithmic enhancements (like sampling and likelihood maximization) and diverse applications (such as computer vision, natural language processing, and medical imaging). The output is a structured guide to relevant academic literature, making it easier to understand current trends and identify key studies.
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