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Frequency Domain-based Perceptual Loss for Super Resolution

Frequency Domain-based Perceptual Loss for Super Resolution

International Workshop on Machine Learning for Signal Processing (MLSP), 2020
23 July 2020
Shane D. V. Sims
ArXiv (abs)PDFHTML

Papers citing "Frequency Domain-based Perceptual Loss for Super Resolution"

6 / 6 papers shown
MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution
MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution
S. Sami
Md Golam Moula Mehedi Hasan
J. Dawson
Nasser M. Nasrabadi
Nasser M. Nasrabadi
Raghuveer Rao
DiffM
459
2
0
20 Nov 2024
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for
  Skillful Precipitation Nowcasting
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation NowcastingNeural Information Processing Systems (NeurIPS), 2024
Chiu-Wai Yan
Shi Quan Foo
Van Hoan Trinh
Dit-Yan Yeung
Ka-Hing Wong
W. Wong
352
17
0
30 Oct 2024
Local-Selective Feature Distillation for Single Image Super-Resolution
Local-Selective Feature Distillation for Single Image Super-Resolution
Seonguk Park
Nojun Kwak
219
11
0
22 Nov 2021
Semantic and Geometric Unfolding of StyleGAN Latent Space
Semantic and Geometric Unfolding of StyleGAN Latent Space
Mustafa Shukor
Xu Yao
B. Damodaran
Pierre Hellier
GAN
215
5
0
09 Jul 2021
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
Anomaly Detection By Autoencoder Based On Weighted Frequency Domain Loss
M. Nakanishi
Kazuki Sato
Hideo Terada
167
8
0
21 May 2021
A Sub-band Approach to Deep Denoising Wavelet Networks and a
  Frequency-adaptive Loss for Perceptual Quality
A Sub-band Approach to Deep Denoising Wavelet Networks and a Frequency-adaptive Loss for Perceptual QualityIEEE International Workshop on Multimedia Signal Processing (MMSP), 2021
Çağlar Aytekin
S. Alenius
D. Paliy
Juuso Grén
189
3
0
16 Feb 2021
1
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