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Responsible Visual Editing
April 9, 2024, 4:47 a.m. | Minheng Ni, Yeli Shen, Lei Zhang, Wangmeng Zuo
cs.CV updates on arXiv.org arxiv.org
Abstract: With recent advancements in visual synthesis, there is a growing risk of encountering images with detrimental effects, such as hate, discrimination, or privacy violations. The research on transforming harmful images into responsible ones remains unexplored. In this paper, we formulate a new task, responsible visual editing, which entails modifying specific concepts within an image to render it more responsible while minimizing changes. However, the concept that needs to be edited is often abstract, making it …
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