March 25, 2024, 4:45 a.m. | Yiming Zhang, Zhening Xing, Yanhong Zeng, Youqing Fang, Kai Chen

cs.CV updates on arXiv.org arxiv.org

arXiv:2312.13964v2 Announce Type: replace
Abstract: Recent advancements in personalized text-to-image (T2I) models have revolutionized content creation, empowering non-experts to generate stunning images with unique styles. While promising, adding realistic motions into these personalized images by text poses significant challenges in preserving distinct styles, high-fidelity details, and achieving motion controllability by text. In this paper, we present PIA, a Personalized Image Animator that excels in aligning with condition images, achieving motion controllability by text, and the compatibility with various personalized T2I …

abstract arxiv challenges cs.ai cs.cv experts fidelity generate image images modules personalized text text-to-image type via

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