Processing simple geometric attributes with autoencoders

DOI10.1007/S10851-019-00924-WzbMath1434.68514arXiv1904.07099OpenAlexW2987377479WikidataQ126793246 ScholiaQ126793246MaRDI QIDQ1988341

Yann Gousseau, Alasdair Newson, Andrés Almansa, Saïd Ladjal

Publication date: 23 April 2020

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1904.07099

zbMATH Keywords

generative modelsdeep learningimage synthesisautoencoders

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computing methodologies for image processing (68U10)

Related Items (1)

Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos

Uses Software

• CycleGAN
• pix2pix
• StarGAN

Cites Work

• Auto-association by multilayer perceptrons and singular value decomposition
• StarGAN
• Graph Regularized Auto-Encoders for Image Representation
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