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A Dataset and Benchmark for Copyright Protection from Text-to-Image Diffusion Models
March 20, 2024, 4:45 a.m. | Rui Ma, Qiang Zhou, Bangjun Xiao, Yizhu Jin, Daquan Zhou, Xiuyu Li, Aishani Singh, Yi Qu, Kurt Keutzer, Xiaodong Xie, Jingtong Hu, Zhen Dong, Shanghan
cs.CV updates on arXiv.org arxiv.org
Abstract: Copyright is a legal right that grants creators the exclusive authority to reproduce, distribute, and profit from their creative works. However, the recent advancements in text-to-image generation techniques have posed significant challenges to copyright protection, as these methods have facilitated the learning of unauthorized content, artistic creations, and portraits, which are subsequently utilized to generate and disseminate uncontrolled content. Especially, the use of stable diffusion, an emerging model for text-to-image generation, poses an increased risk …
abstract arxiv benchmark challenges copyright copyright protection creative creative works creators cs.cv dataset diffusion diffusion models exclusive grants however image image diffusion image generation legal profit protection text text-to-image type
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