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MuseumMaker: Continual Style Customization without Catastrophic Forgetting
April 26, 2024, 4:45 a.m. | Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong
cs.CV updates on arXiv.org arxiv.org
Abstract: Pre-trained large text-to-image (T2I) models with an appropriate text prompt has attracted growing interests in customized images generation field. However, catastrophic forgetting issue make it hard to continually synthesize new user-provided styles while retaining the satisfying results amongst learned styles. In this paper, we propose MuseumMaker, a method that enables the synthesis of images by following a set of customized styles in a never-end manner, and gradually accumulate these creative artistic works as a Museum. …
abstract arxiv catastrophic forgetting continual cs.cv customization however image images issue paper prompt results style text text-to-image type while
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