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Feng-Lei Fan

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Open access 2026

VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation

Blind image deconvolution, the task of recovering a sharp image from a blurred observation with an unknown kernel, remains a challenging ill-posed inverse problem. While deep learning methods trained on large-scale datasets have achieved remarkable performance, their application is often limited by the availability of...

Ting-Ting Wu, Pei-Xuan Song, Wu-Fan Zhao et al. · 0 citations
Jul 2026

On Explicit Super-Expressive Approximation for Neural Networks

The Chinese Remainder Theorem is introduced by introducing the Chinese Remainder Theorem as a constructive encoding mechanism for fixed-architecture neural network approximation with explicit parameter bounds and elementary activations.

Feng-Lei Fan, Zengxun Li, Chenyu Wang et al. · 0 citations

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