May 10, 2024, 4:12 a.m. | Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang

cs.CR updates on arXiv.org arxiv.org

arXiv:2306.04642v3 Announce Type: replace
Abstract: Recently, Generative Diffusion Models (GDMs) have showcased their remarkable capabilities in learning and generating images. A large community of GDMs has naturally emerged, further promoting the diversified applications of GDMs in various fields. However, this unrestricted proliferation has raised serious concerns about copyright protection. For example, artists including painters and photographers are becoming increasingly concerned that GDMs could effortlessly replicate their unique creative works without authorization. In response to these challenges, we introduce a novel …

arxiv copyright copyright protection cs.cr cs.cv cs.lg diffusion models generative protection

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