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Exploring the Naturalness of AI-Generated Images
March 5, 2024, 2:50 p.m. | Zijian Chen, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai, Wenjun Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: The proliferation of Artificial Intelligence-Generated Images (AGIs) has greatly expanded the Image Naturalness Assessment (INA) problem. Different from early definitions that mainly focus on tone-mapped images with limited distortions (e.g., exposure, contrast, and color reproduction), INA on AI-generated images is especially challenging as it has more diverse contents and could be affected by factors from multiple perspectives, including low-level technical distortions and high-level rationality distortions. In this paper, we take the first step to benchmark …
abstract ai-generated images artificial artificial intelligence arxiv assessment color contents contrast cs.cv definitions diverse focus generated image images intelligence mapped type
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