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cs.CV2026
Beyond Fixed Inference: Quantitative Flow Matching for Adaptive Image Denoising
Jigang Duan, Genwei Ma, Xu Jiang +3
Diffusion and flow-based generative models have shown strong potential for image restoration. However, image denoising under unknown and varying noise conditions remains challengin…
cs.CV2025
Physics-Inspired Gaussian Kolmogorov-Arnold Networks for X-ray Scatter Correction in Cone-Beam CT
Xu Jiang, Huiying Pan, Ligen Shi +3
Cone-beam CT (CBCT) employs a flat-panel detector to achieve three-dimensional imaging with high spatial resolution. However, CBCT is susceptible to scatter during data acquisition…