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

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

Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) - PyImageSearch

The Complete Guide to Generative Adversarial Networks [GANs]

Generative Adversarial Networks in Medicine: Important Considerations for this Emerging Innovation in Artificial Intelligence

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

SIGGRAPH Asia, ICCV and Pacific Graphics Papers Accepted - CAMERA

ESRGAN Paper Walkthrough

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 [PeerJ]

Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type

Understanding Generative Adversarial Networks (GANs), by Mirko Peters