Orthonormal Convolutions for the Rotation Based Iterative Gaussianization-Reference-Cited by-同舟云学术

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Orthonormal Convolutions for the Rotation Based Iterative Gaussianization

Published:2022-10-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Image Processing (ICIP)
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Author:

Laparra Valero¹,Hepburn Alexander²,Johnson J. Emmanuel³,Malo Jesus¹

Affiliation:

1. Universitat de Valencia,Image Processing Laboratory

2. University of Bristol,Engineering Mathematics

3. Université Grenoble Alpes,Institut des Géosciences de l’Environnement

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897849.pdf?arnumber=9897849

Reference26 articles.

1. Density modeling of images using a generalized normalization transformation;ballé;ICLR 2016,2016

2. Gaussianization flows;meng;AISTATS 2020 2020 vol 108 of Proc Mach Learn Res,0

3. Emerging convolutions for generative normalizing flows;hoogeboom;ICML 2019 2019 vol 97 of Proceedings of Machine Learning Research,0

4. Glow: Generative flow with invertible 1x1 convolutions;kingma;NeurIPS 2018,2018

5. Learning sparse filter bank transforms with convolutional ICA;ballé;IEEE Int Conf Im Proc ICIP 2014,2015

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