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The proposed Residual Generative Adversarial Network (R-GAN). The

The proposed Residual Generative Adversarial Network (R-GAN). The

The Complete Guide to Generative Adversarial Networks [GANs]

Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy - RSC Advances (RSC Publishing) DOI:10.1039/D1RA06905E

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The proposed Residual Generative Adversarial Network (R-GAN). The

Details of the proposed RL-GAN. The context enclosed by the blue dotted

Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy - RSC Advances (RSC Publishing)

Generative adversarial network

Sakshi Varshney, Vinay Kumar Verma, P. K. Srijith, Lawrence Carin, Piyush Rai · CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks · SlidesLive

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Image Super-Resolution Reconstruction Based on Dual Residual Network

Deep learning model to predict complex stress and strain fields in hierarchical composites

Generating synthesized computed tomography from CBCT using a conditional generative adversarial network for head and neck cancer patients - Yun Zhang, Sheng-gou Ding, Xiao-chang Gong, Xing-xing Yuan, Jia-fan Lin, Qi Chen, Jin-gao

Ultrasound image denoising using generative adversarial networks with residual dense connectivity and weighted joint loss.pdf

An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks

6 GAN Architectures You Really Should Know