Web: http://arxiv.org/abs/2202.09553

Sept. 19, 2022, 1:14 a.m. | Wei Liu, Cheng Chen, Rui Jiang, Tao Lu, Zixiang Xiong

cs.CV updates on arXiv.org arxiv.org

Adversarial learning-based image defogging methods have been extensively
studied in computer vision due to their remarkable performance. However, most
existing methods have limited defogging capabilities for real cases because
they are trained on the paired clear and synthesized foggy images of the same
scenes. In addition, they have limitations in preserving vivid color and rich
textual details in defogging. To address these issues, we develop a novel
generative adversarial network, called holistic attention-fusion adversarial
network (HAAN), for single image defogging. …

arxiv attention fusion image network

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