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

Latest Papers

PAPER DATE
LOGAN: Latent Optimisation for Generative Adversarial Networks
| Yan WuJeff DonahueDavid BalduzziKaren SimonyanTimothy Lillicrap
2019-12-02
Deep Compressed Sensing
| Yan WuMihaela RoscaTimothy Lillicrap
2019-05-16

Tasks

TASK PAPERS SHARE
Conditional Image Generation 1 33.33%
Image Generation 1 33.33%
Meta-Learning 1 33.33%

Categories