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Westlake-AGI-Lab/Awesome-Style-Transfer-with-Diffusion-Models ★ 197 14 DATA_RESEARCH

This repository is a curated reference list of academic papers and projects focused on style transfer using diffusion models. It organizes resources into categories including image synthesis (text-driven, image-driven, LoRA-based methods), video synthesis, 3D generation, style datasets, and related surveys. The repository contains no executable code, data, or training scripts; it serves solely as a bibliographic guide for researchers. Content is presented in markdown format with tables linking to arXiv papers and GitHub repositories, supplemented by badges for stars and publication dates.

RATING: 8.1/10 REPRO: 9.0/10 MAINT: maintained DRIFT: low
#style-transfer #diffusion-models #awesome-list #image-synthesis #video-synthesis #3d-generation #aigc #text-to-image #text-to-video
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