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

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

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GMD - Rad-cGAN v1.0: Radar-based precipitation nowcasting model with conditional generative adversarial networks for multiple dam domains

Computer Vision and Machine Learning Applications.

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data

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

SRGAN Explained Papers With Code

Revision for Deep Image Inpainting and Review: Patch-Based Image Inpainting with Generative Adversarial Networks, by Chu-Tak Li

Full article: Urban building extraction from high-resolution remote sensing imagery based on multi-scale recurrent conditional generative adversarial network

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

Frontiers A transformer-based generative adversarial network for brain tumor segmentation