awesome-diffusion-categorized and Awesome-Video-Diffusion-Models

Maintenance 16/25
Adoption 10/25
Maturity 8/25
Community 16/25
Maintenance 16/25
Adoption 10/25
Maturity 8/25
Community 16/25
Stars: 2,168
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Stars: 2,282
Forks: 112
Downloads:
Commits (30d): 1
Language:
License:
No License No Package No Dependents
No License No Package No Dependents

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.

generative-AI image-synthesis visual-effects computer-vision AI-research

About Awesome-Video-Diffusion-Models

ChenHsing/Awesome-Video-Diffusion-Models

[CSUR] A Survey on Video Diffusion Models

This project is a comprehensive guide to video diffusion models, helping creative professionals, researchers, and content creators understand the latest advancements in generating and editing videos using AI. It takes various video creation and editing needs as input, and provides a structured overview of tools and techniques to produce desired video content. This resource is for anyone exploring the cutting edge of AI-driven video content.

AI-video-generation video-editing creative-AI content-creation AI-research

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