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07/16/2022
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior
Euler's elastica constitute an appealing variational image inpainting mo...
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10/06/2021
Learning Sparse Masks for Diffusion-based Image Inpainting
Diffusion-based inpainting is a powerful tool for the reconstruction of ...
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08/31/2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods
Partial differential equation (PDE) models and their associated variatio...
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07/30/2021
Connections between Numerical Algorithms for PDEs and Neural Networks
We investigate numerous structural connections between numerical algorit...
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03/29/2021
Translating Numerical Concepts for PDEs into Neural Architectures
We investigate what can be learned from translating numerical algorithms...
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10/21/2020
Learning Integrodifferential Models for Image Denoising
We introduce an integrodifferential extension of the edge-enhancing anis...
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02/07/2020
Translating Diffusion, Wavelets, and Regularisation into Residual Networks
Convolutional neural networks (CNNs) often perform well, but their stabi...
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10/21/2019