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Enforcing Perceptual Consistency on Generative Adversarial Networks by
  Using the Normalised Laplacian Pyramid Distance
v1v2 (latest)

Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance

9 August 2019
Alexander Hepburn
Valero Laparra
Ryan McConville
Raúl Santos-Rodríguez
    GAN
ArXiv (abs)PDFHTML

Papers citing "Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance"

3 / 3 papers shown
Title
Learning GAN-based Foveated Reconstruction to Recover Perceptually
  Important Image Features
Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features
L. Surace
Marek Wernikowski
C. Tursun
K. Myszkowski
R. Mantiuk
Piotr Didyk
20
1
0
07 Aug 2021
On the relation between statistical learning and perceptual distances
On the relation between statistical learning and perceptual distances
Alexander Hepburn
Valero Laparra
Raúl Santos-Rodríguez
Johannes Ballé
Jesús Malo
86
19
0
08 Jun 2021
Explainers in the Wild: Making Surrogate Explainers Robust to
  Distortions through Perception
Explainers in the Wild: Making Surrogate Explainers Robust to Distortions through Perception
Alexander Hepburn
Raúl Santos-Rodríguez
FAtt
58
4
0
22 Feb 2021
1