Author

Jin-Shu Huang

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Preprint Oct 2026

Frequency-Decoupled Diffusion Guidance for Non-Blind Image Deblurring

Pretrained diffusion models provide powerful image priors for training-free posterior sampling in image restoration. To guide this sampling process, frequency-aware methods progressively incorporate measurement information across frequency bands, facilitating coarse-to-fine reconstruction. However, existing methods typ...

Si-Han Wang, Jin-Shu Huang, Hai-Bin Su et al. · 0 citations

Jul 2026

From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

This work establishes a unified convergence and generalization framework for score-based diffusion models parameterized by practical ResNet-type architectures and quantitatively characterize how the training sample size, temporal discretization grids, and optimization accuracy jointly control the final fidelity of samp...

Jin-Shu Huang, Yi-Ming Jiang, Chun-Lin Wu · arXiv.org · 2 citations