2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
Artistic-style text detector and a new Movie-Poster dataset
Aoxiang Ning, Yiting Wei, Minglong Xue +1
Although current text detection algorithms demonstrate effectiveness in general scenarios, their performance declines when confronted with artistic-style text featuring complex str…
Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement
Jinhong He, Minglong Xue, Aoxiang Ning +1
Diffusion model-based low-light image enhancement methods rely heavily on paired training data, leading to limited extensive application. Meanwhile, existing unsupervised methods l…