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New Techniques for Preserving Global Structure and Denoising with Low
  Information Loss in Single-Image Super-Resolution

New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution

9 May 2018
Yijie Bei
Alexandru Damian
Shijia Hu
Sachit Menon
Nikhila Ravi
Cynthia Rudin
    SupR
ArXivPDFHTML

Papers citing "New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-Resolution"

2 / 2 papers shown
Title
A Comprehensive Review of Deep Learning-based Single Image
  Super-resolution
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
S. M. A. Bashir
Yi Wang
Mahrukh Khan
Yilong Niu
SupR
AI4Cl
27
112
0
18 Feb 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of
  Generative Models
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Sachit Menon
Alexandru Damian
Shijia Hu
Nikhil Ravi
Cynthia Rudin
OOD
DiffM
194
540
0
08 Mar 2020
1