awesome-diffusion-categorized and Awesome-Diffusion-Models-for-Weather-Forecasting
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.
About Awesome-Diffusion-Models-for-Weather-Forecasting
hoonerg/Awesome-Diffusion-Models-for-Weather-Forecasting
A collection of research papers on Diffusion Models for Weather Forecasting.
This resource provides a curated collection of research papers focused on using advanced AI techniques, specifically Diffusion Models, for weather and climate forecasting. It brings together the latest academic work in this rapidly evolving field, offering insights into new methods for predicting weather patterns, precipitation, and even extreme events. Scientists, meteorologists, and climate researchers who are working on developing more accurate and nuanced forecasts for various atmospheric phenomena will find this collection valuable.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work