70 citations · 72 across the 2 of their papers we have counts for
7 papers
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…
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…
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…
Grid Saliency for Context Explanations of Semantic Segmentation
Lukas Hoyer, Mauricio Munoz, Prateek Katiyar +2
Recently, there has been a growing interest in developing saliency methods that provide visual explanations of network predictions. Still, the usability of existing methods is limi…
Progressive Augmentation of GANs
Dan Zhang, Anna Khoreva
Training of Generative Adversarial Networks (GANs) is notoriously fragile, requiring to maintain a careful balance between the generator and the discriminator in order to perform w…
Learning to Refine Human Pose Estimation
Mihai Fieraru, Anna Khoreva, Leonid Pishchulin +1
Multi-person pose estimation in images and videos is an important yet challenging task with many applications. Despite the large improvements in human pose estimation enabled by th…