May 7, 2024, 4:45 a.m. | Omri Avrahami, Amir Hertz, Yael Vinker, Moab Arar, Shlomi Fruchter, Ohad Fried, Daniel Cohen-Or, Dani Lischinski

cs.LG updates on arXiv.org arxiv.org

arXiv:2311.10093v3 Announce Type: replace-cross
Abstract: Recent advances in text-to-image generation models have unlocked vast potential for visual creativity. However, these models struggle with generation of consistent characters, a crucial aspect for numerous real-world applications such as story visualization, game development asset design, advertising, and more. Current methods typically rely on multiple pre-existing images of the target character or involve labor-intensive manual processes. In this work, we propose a fully automated solution for consistent character generation, with the sole input being …

arxiv characters consistent cs.cv cs.gr cs.lg diffusion diffusion models image image diffusion text text-to-image type

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