April 9, 2024, 4:47 a.m. | Minheng Ni, Yeli Shen, Lei Zhang, Wangmeng Zuo

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.05580v1 Announce Type: new
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 …

arxiv cs.cv editing responsible type visual

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