70 citations · 71 across the 3 of their papers we have counts for
4 papers · 1 filter
Discovering Class-Specific GAN Controls for Semantic Image Synthesis
Edgar Schönfeld, Julio Borges, Vadim Sushko +2
Prior work has extensively studied the latent space structure of GANs for unconditional image synthesis, enabling global editing of generated images by the unsupervised discovery o…
One-Shot Synthesis of Images and Segmentation Masks
Vadim Sushko, Dan Zhang, Juergen Gall +1
Joint synthesis of images and segmentation masks with generative adversarial networks (GANs) is promising to reduce the effort needed for collecting image data with pixel-wise anno…
Learning to Generate Novel Scene Compositions from Single Images and Videos
Vadim Sushko, Juergen Gall, Anna Khoreva
Training GANs in low-data regimes remains a challenge, as overfitting often leads to memorization or training divergence. In this work, we introduce One-Shot GAN that can learn to…
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…