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Simpler is better: spectral regularization and up-sampling techniques
  for variational autoencoders

Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders

19 January 2022
Sara Bjork
Jonas Nordhaug Myhre
T. Johansen
    DRL
ArXivPDFHTML

Papers citing "Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders"

4 / 4 papers shown
Title
3D variational autoencoder for fingerprinting microstructure volume elements
3D variational autoencoder for fingerprinting microstructure volume elements
Michael D. White
Michael D. Atkinson
Adam J. Plowman
Pratheek Shanthraj
42
0
0
21 Mar 2025
Forest Parameter Prediction by Multiobjective Deep Learning of
  Regression Models Trained with Pseudo-Target Imputation
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
Sara Björk
S. N. Anfinsen
Michael C. Kampffmeyer
E. Næsset
T. Gobakken
Lennart Noordermeer
11
1
0
19 Jun 2023
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
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