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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

Sara Bjork
Jonas Nordhaug Myhre
T. Johansen
    DRL
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Papers citing "Simpler is better: spectral regularization and up-sampling techniques for variational autoencoders"

5 / 5 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
47
0
0
21 Mar 2025
Short-Time Fourier Transform for deblurring Variational Autoencoders
Short-Time Fourier Transform for deblurring Variational Autoencoders
Vibhu Dalal
37
0
0
06 Jan 2024
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
15
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
297
10,368
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
19,455
0
21 Nov 2016