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Stochastic Frequency Masking to Improve Super-Resolution and Denoising
  Networks

Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

16 March 2020
Majed El Helou
Ruofan Zhou
Sabine Süsstrunk
ArXivPDFHTML

Papers citing "Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks"

3 / 3 papers shown
Title
Exploiting the Signal-Leak Bias in Diffusion Models
Exploiting the Signal-Leak Bias in Diffusion Models
Martin Nicolas Everaert
Athanasios Fitsios
Marco Bocchio
Sami Arpa
Sabine Süsstrunk
R. Achanta
DiffM
16
24
0
27 Sep 2023
Target Aware Poisson-Gaussian Noise Parameters Estimation from Noisy
  Images
Target Aware Poisson-Gaussian Noise Parameters Estimation from Noisy Images
Étienne Objois
Kaan Okumuş
Nicolas Bähler
15
0
0
21 Oct 2022
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
186
5,138
0
16 Sep 2016
1