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ASAP: Interpretable Analysis and Summarization of AI-generated Image Patterns at Scale
April 5, 2024, 4:44 a.m. | Jinbin Huang, Chen Chen, Aditi Mishra, Bum Chul Kwon, Zhicheng Liu, Chris Bryan
cs.CV updates on arXiv.org arxiv.org
Abstract: Generative image models have emerged as a promising technology to produce realistic images. Despite potential benefits, concerns grow about its misuse, particularly in generating deceptive images that could raise significant ethical, legal, and societal issues. Consequently, there is growing demand to empower users to effectively discern and comprehend patterns of AI-generated images. To this end, we developed ASAP, an interactive visualization system that automatically extracts distinct patterns of AI-generated images and allows users to interactively …
abstract ai-generated image analysis arxiv benefits concerns cs.ai cs.cv cs.hc demand ethical generated generative image images legal misuse patterns raise scale summarization technology type
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