Stochastic Frequency Masking to Improve Super-Resolution and Denoising
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Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

16 March 2020

Sabine Süsstrunk

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

8 / 8 papers shown

Title
Exploiting the Signal-Leak Bias in Diffusion Models Martin Nicolas Everaert Athanasios Fitsios Marco Bocchio Sami Arpa Sabine Süsstrunk R. Achanta DiffM 35 25 0 27 Sep 2023
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images Yuki Kondo Norimichi Ukita SupR 24 8 0 24 Feb 2023
Target Aware Poisson-Gaussian Noise Parameters Estimation from Noisy Images Étienne Objois Kaan Okumuş Nicolas Bähler 34 0 0 21 Oct 2022
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution Fuzhi Yang Huan Yang Yanhong Zeng Jianlong Fu Hongtao Lu 35 9 0 03 Jul 2022
Universal Face Restoration With Memorized Modulation Jia Li Huaibo Huang Xiaofei Jia Ran He CVBM 36 2 0 03 Oct 2021
Controllable Confidence-Based Image Denoising Haley Owsianko Florian Cassayre Qiyuan Liang 16 1 0 17 Jun 2021
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion Xiaoqi Ma Xiaoyu Lin Majed El Helou Sabine Süsstrunk UQCV 37 5 0 12 Jan 2021
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 234 5,180 0 16 Sep 2016