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What is: High-resolution Deep Convolutional Generative Adversarial Networks?

SourceHigh-Resolution Deep Convolutional Generative Adversarial Networks
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

HDCGAN, or High-resolution Deep Convolutional Generative Adversarial Networks, is a DCGAN based architecture that achieves high-resolution image generation through the proper use of SELU activations. Glasses, a mechanism to arbitrarily improve the final GAN generated results by enlarging the input size by a telescope ζ is also set forth.

A video showing the training procedure on CelebA-hq can be found here.