70 citations · 72 across the 7 of their papers we have counts for
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cs.CV2021
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…
cs.CV2021★ 1 cited
Generating Novel Scene Compositions from Single Images and Videos
Vadim Sushko, Dan Zhang, Juergen Gall +1
Given a large dataset for training, generative adversarial networks (GANs) can achieve remarkable performance for the image synthesis task. However, training GANs in extremely low…