This repository is a curated, categorized collection of research papers and code related to diffusion models, primarily focusing on advancements in image and video generation, editing, and related tasks. It serves as a valuable resource for researchers, engineers, and practitioners in the field of generative AI, offering a structured overview of the rapidly evolving landscape of diffusion model research.

How It Works

The repository organizes papers by sub-areas within diffusion models, such as acceleration techniques, image restoration, text-guided editing, video generation, and personalization. Each entry typically includes links to the paper, project page, and code repositories, allowing users to easily access and explore the latest research.

Quick Start & Requirements

This is a curated list of research papers and code; there are no direct installation or execution commands. Users will need to follow the links provided for each paper to access their respective codebases and dependencies.

Highlighted Details

• Extensive categorization of diffusion model research across numerous sub-domains.
• Provides direct links to papers, project pages, and code repositories for easy access.
• Covers a wide range of applications including image/video generation, editing, restoration, and personalization.
• Regularly updated to reflect the latest advancements in diffusion model research.

Maintenance & Community

The repository is maintained by wangkai930418. Information on community interaction channels or specific contributors is not detailed in the README.

Licensing & Compatibility

The repository itself is a collection of links and does not have a specific license. The licensing of individual papers and code repositories will vary and must be checked on their respective project pages.

Limitations & Caveats

The repository is a passive collection of links and does not provide direct functionality. Users must navigate to external resources for code execution and further details. The sheer volume of papers means it can be overwhelming without a specific research focus.