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cs.CV2026
Noise2Match: Self-Supervised Low-Dose CT Denoising via Adaptive Inter-Slice Matching
Langrui Zhou, Guang Li, Xinyu Huang +5
With the rapid development of deep learning, supervised convolutional neural network methods have greatly improved the performance of low-dose computed tomography (CT) denoising. H…
cs.CV2026
Interpreting Object-Dependent Concept Brittleness in Text-to-Image Diffusion Models
Yifan Yuan, Xiangyu Liu, Hongming Shan +5
Although text-to-image diffusion models generally exhibit strong prompt-following ability, we identify a persistent and previously underexplored failure pattern in which a small su…