Generative adversarial networks with decoder-encoder output noises

DOI10.1016/J.NEUNET.2020.04.005zbMath1468.68179DBLPjournals/nn/ZhongGLYWH20arXiv1807.03923OpenAlexW3015730689WikidataQ92118873 ScholiaQ92118873MaRDI QIDQ1982397

Yanyan Li

Publication date: 8 September 2021

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1807.03923

zbMATH Keywords

noisegenerative modelsimage generationgenerative adversarial networksvariational autoencoders

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• darch
• MNIST
• Steerable pyramid
• CVAE-GAN
• DeLiGAN

Cites Work

• Unnamed Item
• A parametric texture model based on joint statistics of complex wavelet coefficients
• Reducing the Dimensionality of Data with Neural Networks
• The intrinsic dimensionality of signal collections
• On Information and Sufficiency

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