2021年10月22日 · In this paper, we propose an evolutionary algorithm (EA) assisted GAN, named EvoGAN, to generate various compound expressions with any accurate target compound expression. EvoGAN uses an EA to search target results in the data distribution learned by GAN.

2022年1月16日 · In this paper, we propose an evolutionary algorithm (EA) assisted GAN, named EvoGAN, to generate various compound expressions with any accurate target compound expression. EvoGAN uses an EA to search target results in the data distribution learned by GAN.

2018年3月1日 · In this paper, we propose a novel GAN framework called evolutionary generative adversarial networks (E-GAN) for stable GAN training and improved generative performance.

EvoGAN: An evolutionary computation assisted GAN, Neurocomputing, Volume 469, 2022,Pages 81-90, https://doi.org/10.1016/j.neucom.2021.10.060.

Inception Score code from OpenAI's Improved GAN (official). FID code and CIFAR-10 statistics file from https://github.com/bioinf-jku/TTUR (official).

2022年1月16日 · In this paper, we propose an evolutionary algorithm (EA) assisted GAN, named EvoGAN, to generate various compound expressions with any accurate target compound expression. EvoGAN uses an EA to search target results in the data distribution learned by GAN.

In this paper, we propose an evolutionary algorithm (EA) assisted GAN, named EvoGAN, to generate various compound expressions with any accurate target compound expression. EvoGAN uses an EA to search target results in the data distribution learned by GAN.

We provided Theano implementations for Evolutionary Generative Adversarial Networks (E-GAN). Meanwhile, we are working on new Pytorch-based implementations.

Face aging/rejuvenation, which renders younger or elder facial images, follows the principles of evolution. Inspired by this, we propose an <u>Evo</u>lutionary <u>GAN</u>s (EvoGAN) for face aging/rejuvenation by making each age transformation smooth and decomposing a long-term transformation into several short-terms.

In this paper, we propose an evolutionary algorithm (EA) assisted GAN, named EvoGAN, to generate various compound expressions with any accurate target compound expression. EvoGAN uses an EA to search target results in the data distribution learned by GAN.