2 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
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…