Awesome-Video-Diffusion and awesome-diffusion-categorized
Both are curated lists of diffusion model papers, with A specifically focusing on video-related applications and B being a more general collection categorized by sub-areas, making them complementary resources where A offers a deep dive into video diffusion, and B provides broader context within the larger diffusion model ecosystem.
About Awesome-Video-Diffusion
showlab/Awesome-Video-Diffusion
A curated list of recent diffusion models for video generation, editing, and various other applications.
This is a curated list of tools and resources for generating and editing videos using AI. It helps video creators, marketers, and content producers find different methods to create videos from scratch, modify existing footage, or enhance video quality. You can input text, images, or existing video clips to generate new scenes, apply artistic styles, or restore old videos.
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.
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