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