GAN을 사용하여 unsupervised domain adaption을 한 논문이다. 조금 오래 전 논문임에도 불구하고 foreground에 대한 높은 reconstruction performance를 보여준다. 이제 자세하게 살펴보도록 하자!! https://arxiv.org/abs/1612.05424 Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks Collecting well-annotated image datasets to train modern machine learning algorithms is prohibitively expensive for many tasks. One appealing alter..

https://arxiv.org/abs/1706.09138 Perceptual Adversarial Networks for Image-to-Image Transformation In this paper, we propose a principled Perceptual Adversarial Networks (PAN) for image-to-image transformation tasks. Unlike existing application-specific algorithms, PAN provides a generic framework of learning mapping relationship between paired images ( arxiv.org 최근 GAN에 많은 관심이 있어서 관련 논문을 차근차근 읽..