1 code implementation • CVPR 2022 • Kyungjune Baek, Hyunjung Shim
Since our synthesizer only considers the generic properties of natural images, the single model pretrained on our dataset can be consistently transferred to various target datasets, and even outperforms the previous methods pretrained with the natural images in terms of Fr'echet inception distance.
1 code implementation • Pattern Recognition 2021 • Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
Recently developed regularization techniques improve the networks generalization by only considering the global context.
1 code implementation • ICCV 2021 • Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim
To this end, we propose a truly unsupervised image-to-image translation model (TUNIT) that simultaneously learns to separate image domains and translates input images into the estimated domains.
no code implementations • 20 Jul 2018 • Kyungjune Baek, Duhyeon Bang, Hyunjung Shim
Also, we show that our model can achieve the competitive performance with the state-of-the-art attribute editing technique in terms of attribute editing quality.