Jan 19, 2022 · This paper hence develops an evolutionary architectural search (EAS) technique to automate the entire design process of the GAN. In particular, ...
Abstract—The Generative Adversarial Network (GAN) has shown powerfulness in various real-world artificial intelligence applications.
An evolutionary architectural search (EAS) technique to automate the entire design process of the Generative Adversarial Network (GAN) is developed and ...
Jun 1, 2024 · This article aims to address this issue by searching for high-performance generator's architectures through neural architecture search (NAS).
Nov 30, 2021 · We propose an efficient two-stage evolutionary algorithm-based NAS framework to search GANs, namely EAGAN.
Aug 19, 2023 · EGANS is learned by two stages: evolution generator architecture search and evolution discriminator architecture search. During the evolution ...
Aug 19, 2023 · We propose evolutionary generative adversarial network search (termed EGANS) to automatically design the generative network with good adaptation and stability.
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[PDF] Efficient Two-stage Evolutionary Architecture Search for GANs
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Abstract. Generative adversarial networks (GANs) have proven suc- cessful in image generation tasks. However, GAN training is inherently unstable.
EvoGAN: Evolutionary Algorithm based Neural Architecture Search for Generative Adversarial Networks. MIT license. 9 stars. 3 forks.
Oct 21, 2022 · In this paper, we propose an efficient two-stage Evolutionary Architecture search framework for Generative Adversarial Networks (EAGAN) on the ...