Awesome-Video-Diffusion-Models and Awesome-Conditional-Diffusion-Models

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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

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.

generative AI research image synthesis computer vision deep learning academic survey

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