70 citations · 308 across the 22 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CV2020★ 70 cited
You Only Need Adversarial Supervision for Semantic Image Synthesis
Vadim Sushko, Edgar Schönfeld, Dan Zhang +3
Despite their recent successes, GAN models for semantic image synthesis still suffer from poor image quality when trained with only adversarial supervision. Historically, additiona…
cs.CV2020★ 2 cited
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
Prateek Katiyar, Anna Khoreva
Despite data augmentation being a de facto technique for boosting the performance of deep neural networks, little attention has been paid to developing augmentation strategies for…
cs.CV2020
A U-Net Based Discriminator for Generative Adversarial Networks
Edgar Schönfeld, Bernt Schiele, Anna Khoreva
Among the major remaining challenges for generative adversarial networks (GANs) is the capacity to synthesize globally and locally coherent images with object shapes and textures i…