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cs.CV2026★ 1 cited
Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
Zhongling Wang, Raymond Zhou, Shahrukh Athar +2
Over the past decades, numerous Image Quality Assessment (IQA) models have emerged, aiming to predict the perceptual quality of images. However, individual models are often biased…
cs.CV2025
Towards a Universal Image Degradation Model via Content-Degradation Disentanglement
Wenbo Yang, Zhongling Wang, Zhou Wang
Image degradation synthesis is highly desirable in a wide variety of applications ranging from image restoration to simulating artistic effects. Existing models are designed to gen…