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\copyright Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
April 19, 2024, 4:42 a.m. | Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu
cs.LG 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 …
abstract ai developers art arxiv authorization community copyright copyright infringement copyright protection create creators cs.ai cs.cr cs.cv cs.lg developers generated human human content image images infringement issue legal paper protection quality state state-of-the-art models text text-to-image type
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