March 4, 2024, 5:45 a.m. | Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.00483v1 Announce Type: new
Abstract: Text-to-image customization, which aims to synthesize text-driven images for the given subjects, has recently revolutionized content creation. Existing works follow the pseudo-word paradigm, i.e., represent the given subjects as pseudo-words and then compose them with the given text. However, the inherent entangled influence scope of pseudo-words with the given text results in a dual-optimum paradox, i.e., the similarity of the given subjects and the controllability of the given text could not be optimal simultaneously. We …

arxiv cs.cv customization domain image real-time text text-to-image type word

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