Generative Models

# High-resolution Deep Convolutional Generative Adversarial Networks

Introduced by Curtó et al. in High-Resolution Deep Convolutional Generative Adversarial Networks

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.

#### Papers

Paper Code Results Date Stars