ResearchTrend.AI
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

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
30
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