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UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning
[article]
2022
arXiv
pre-print
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We propose an effective unsupervised contrastive learning paradigm for image dehazing, dubbed UCL-Dehaze. ...
From a different yet new perspective, this paper explores contrastive learning with an adversarial training effort to leverage unpaired real-world hazy and clean images, thus bridging the gap between synthetic ...
Towards real-world image dehazing, we propose an unsupervised contrastive learning paradigm, called UCL-Dehaze. ...
arXiv:2205.01871v1
fatcat:4chy2dryivgzlnhitusd3ldxae