講題：GAN models for visual learning

時間：12/19(二)下午 13：30

地點：綜合三館837室

摘要：Generative Adversarial Network (GAN) has attracted a considerable amount of attention in deep learning and computer vision communities. In this talk, I will present three different GAN models for solving the image completion, face frontalization, and day-to-night image conversion problems, respectively. Each GAN model is specifically designed for the corresponding problem and we propose an associated loss function for the training. Some experimental results on real data will be shown to demonstrate superior performance by using the proposed models.

＜＜歡迎老師、同學踴躍參與！！＞＞