Generative Adversarial Networks

CS-GAN

Introduced by Wu et al. in Deep Compressed Sensing

CS-GAN is a type of generative adversarial network that uses a form of deep compressed sensing, and latent optimisation, to improve the quality of generated samples.

Source: Deep Compressed Sensing

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Conditional Image Generation 1 33.33%
Image Generation 1 33.33%
Meta-Learning 1 33.33%

Categories