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Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras
Free accessArXiv | 2024| -
Image Comparison and Scaling via Nonlinear Elasticity
British Library Conference Proceedings | 2023| -
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers
British Library Conference Proceedings | 2023| -
Resolution-Invariant Image Classification Based on Fourier Neural Operators
British Library Conference Proceedings | 2023| -
Surface Reconstruction from Noisy Point Cloud Using Directional G-norm
British Library Conference Proceedings | 2023| -
Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks
British Library Conference Proceedings | 2023| -
Learning Posterior Distributions in Underdetermined Inverse Problems
British Library Conference Proceedings | 2023| -
A Geometrically Aware Auto-Encoder for Multi-texture Synthesis
British Library Conference Proceedings | 2023| -
GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials
British Library Conference Proceedings | 2023| -
Piece-wise Constant Image Segmentation with a Deep Image Prior Approach
British Library Conference Proceedings | 2023| -
Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data
British Library Conference Proceedings | 2023| -
The Variational Approach to the Flow of Sobolev-Diffeomorphisms Model
British Library Conference Proceedings | 2023| -
Prony-Based Super-Resolution Phase Retrieval of Sparse, Multidimensional Signals
British Library Conference Proceedings | 2023| -
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting
British Library Conference Proceedings | 2023|
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