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FS-NCSR: Increasing Diversity of the Super-Resolution Space via
  Frequency Separation and Noise-Conditioned Normalizing Flow

FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow

20 April 2022
Ki-Ung Song
D. Shim
Kang-Wook Kim
Jae-young Lee
Young-Gon Kim
    SupR
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Papers citing "FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow"

3 / 3 papers shown
Title
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Li-Yuan Tsao
Yi-Chen Lo
Chia-Che Chang
Hao-Wei Chen
Roy Tseng
Chien Feng
Chun-Yi Lee
SupR
27
4
0
16 Mar 2024
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
On the Robustness of Normalizing Flows for Inverse Problems in Imaging
Seongmin Hong
I. Park
S. Chun
33
7
0
08 Dec 2022
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative
  Adversarial Network
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network
Nathanaël Carraz Rakotonirina
Andry Rasoanaivo
GAN
SupR
35
142
0
21 Jan 2020
1