March 18, 2024, 4:46 a.m. | Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.02521v2 Announce Type: replace
Abstract: Newly developed diffusion-based techniques have showcased phenomenal abilities in producing a wide range of high-quality images, sparking considerable interest in various applications. A prevalent scenario is to generate new images based on a subject from reference images. This subject could be face identity for styled avatars, body and clothing for virtual try-on and so on. Satisfying this requirement is evolving into a field called Subject-Driven Generation. In this paper, we consider Subject-Driven Generation as a …

abstract applications arxiv avatars cs.ai cs.cv diffusion diffusion models face generate identity images quality reference type

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