3 papers
cs.CV2025
Learning Implicit Neural Degradation Representation for Unpaired Image Dehazing
Shuaibin Fan, Senming Zhong, Wenchao Yan +1
Image dehazing is an important task in the field of computer vision, aiming at restoring clear and detail-rich visual content from haze-affected images. However, when dealing with…
cs.CV2025
UR2P-Dehaze: Learning a Simple Image Dehaze Enhancer via Unpaired Rich Physical Prior
Minglong Xue, Shuaibin Fan, Shivakumara Palaiahnakote +1
Image dehazing techniques aim to enhance contrast and restore details, which are essential for preserving visual information and improving image processing accuracy. Existing metho…
cs.CV2024
Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing
Shuaibin Fan, Minglong Xue, Aoxiang Ning +1
Although synthetic data can alleviate acquisition challenges in image dehazing tasks, it also introduces the problem of domain bias when dealing with small-scale data. This paper p…