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A Survey on Personalized Content Synthesis with Diffusion Models
May 10, 2024, 4:45 a.m. | Xulu Zhang, Xiao-Yong Wei, Wengyu Zhang, Jinlin Wu, Zhaoxiang Zhang, Zhen Lei, Qing Li
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advancements in generative models have significantly impacted content creation, leading to the emergence of Personalized Content Synthesis (PCS). With a small set of user-provided examples, PCS aims to customize the subject of interest to specific user-defined prompts. Over the past two years, more than 150 methods have been proposed. However, existing surveys mainly focus on text-to-image generation, with few providing up-to-date summaries on PCS. This paper offers a comprehensive survey of PCS, with a …
abstract arxiv cs.cv diffusion diffusion models emergence examples generative generative models pcs personalized personalized content prompts set small survey synthesis type
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