awesome-diffusion-categorized and Awesome-Conditional-Diffusion-Models
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 Awesome-Conditional-Diffusion-Models
zju-pi/Awesome-Conditional-Diffusion-Models
This repository maintains a collection of important papers on conditional image synthesis with diffusion models (Survey Paper published in TMLR2025)
This project is a curated collection of significant research papers focused on generating images based on specific instructions or data using diffusion models. It helps researchers, PhD students, and academics in computer vision understand how conditions like text or other images are integrated into these models to produce diverse visual content. You'll find papers categorized by their approach to conditional image synthesis, from which you can extract methodologies and insights.
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