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\copyright Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
April 19, 2024, 4:11 a.m. | Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu
cs.CR updates on arXiv.org arxiv.org
Abstract: This paper addresses the contentious issue of copyright infringement in images generated by text-to-image models, sparking debates among AI developers, content creators, and legal entities. State-of-the-art models create high-quality content without crediting original creators, causing concern in the artistic community. To mitigate this, we propose the \copyright Plug-in Authorization framework, introducing three operations: addition, extraction, and combination. Addition involves training a \copyright plug-in for specific copyright, facilitating proper credit attribution. Extraction allows creators to reclaim …
addresses art arxiv authorization community content creators copyright copyright protection creators cs.ai cs.cr cs.cv cs.lg debates developers entities generated high human image images issue legal protection quality state text
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