A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models


S. López-Tapia, A. Lucas, R. Molina, A. K. Katsaggelos

Digital Signal Processing, Volume 104

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Gated Recurrent Networks for Video Super Resolution


S. López-Tapia, A. Lucas, R. Molina, A. K. Katsaggelos

2020 28th European Signal Processing Conference (EUSIPCO)

[PDF]

GAN-Based Video Super-Resolution with Direct Regularized Inversion of the Low-Resolution Formation Model


S. Lopez-Tapia, A. Lucas, R. Molina, A.K. Katsaggelos

IEEE 2019 International Conference on Image Processing (ICIP)

Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model


S. Lopez-Tapia, A. Lucas, R. Molina, A.K. Katsaggelos

2019 27th European Signal Processing Conference (EUSIPCO)

Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks


A. Lucas, S. Lopez-Tapia, R. Molina, A.K. Katsaggelos

arXiv preprint arXiv:1912.12879

Efficient Fine-tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems


A. Lucas, S. Lopez-Tapia, R. Molina, A.K. Katsaggelos

IEEE 2019 International Conference on Image Processing (ICIP)

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution


A. Lucas, S. Lopez-Tapia, R. Molina, A. K. Katsaggelos

IEEE Trans. on Image Processing

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