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cs.CV2026
Frequency-Decoupled Diffusion Guidance for Non-Blind Image Deblurring
Sihan Wang, Jinshu Huang, Haibin Su +1
Pretrained diffusion models provide powerful image priors for training-free posterior sampling in image restoration. To guide this sampling process, frequency-aware methods progres…
cs.CV2026
Gauss-Map Variation for Image Denoising: Geometric Analysis and an Anderson--Accelerated Majorization--Minimization Method
Haibin Su
We propose a Gauss-map variation (GMV) model for image denoising that measures the spatial variation of the tangent-plane projectors of the scaled image graph. We establish an equi…
cs.CV2026
A Globally Convergent Algorithm for Total Scaled-Gradient Variation via Cone-Constrained Bilinear Decomposition
Haibin Su, Chunlin Wu, Huibin Chang +1
The total scaled-gradient variation (TSGV) regularizer, derived from sparse modeling of piecewise-linear structures, has been shown to preserve edges and corners in image restorati…