awesome-diffusion-categorized and awesome-diffusion-models-for-tabular-data
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-tabular-data
Diffusion-Model-Leiden/awesome-diffusion-models-for-tabular-data
This is a curated list of research on diffusion models for tabular data, and serves as the official repository for the survey paper "Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions"
This is a curated list of research papers exploring how diffusion models can be used with tabular data. It provides an overview of various techniques for generating new data, filling in missing information, enhancing data privacy, and detecting anomalies in datasets. This resource is for data scientists, machine learning engineers, and researchers interested in applying advanced generative AI to structured data.
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