A Taylor expansion-based texture and edge-preserving interpolation approach for arbitrary-scale image super-resolution.

Efficient SAV-Based Algorithms for Image Multiplicative Denoising with a Second Fundamental Form Regularizer.

HTMP: Triple-Scale Multilevel Network With Hessian Spatial Loss for Pansharpening.

An adaptive optimal selection approach of the Mixture-of-Experts model embedded with PINNs for one-dimensional hyperbolic conservation laws.

Diffusion probabilistic multi-cue level set for reducing edge uncertainty in pancreas segmentation.

Re-initialization-Free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation.

Boosting the Generalization Ability for Hyperspectral Image Classification Using Spectral-Spatial Axial Aggregation Transformer.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling.

Fractional-order cross-diffusion system for multiplicative noise removal.

Adversarial Training for Physics-Informed Neural Networks.