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wangkai930418/awesome-diffusion-categorized

A meticulously categorized collection of research papers on diffusion models, spanning various subareas from visual illusions to image restoration and text-guided editing.

Core Features

Categorized organization of diffusion model research papers.

Covers a wide range of subareas including visual illusion, color, image restoration, and editing.

Provides direct links to academic papers, project pages, and code repositories.

Facilitates exploration of cutting-edge advancements in diffusion models.

Detailed Introduction

This GitHub project is an invaluable resource for researchers, academics, and developers tracking the rapid advancements in diffusion models. It systematically curates and categorizes a comprehensive list of research papers, making it significantly easier to navigate the complex and fast-evolving landscape of AI generation. By providing direct access to papers, associated project websites, and source code, it empowers users to quickly grasp new concepts, replicate experiments, and stay informed about the latest breakthroughs in areas like image generation, editing, and restoration using diffusion techniques.