Transformation GAN for Unsupervised Image Synthesis and Representation Learning

CVPR 2020 Jiayu Wang Wengang Zhou Guo-Jun Qi Zhongqian Fu Qi Tian Houqiang Li

Generative Adversarial Networks (GAN) have shown promising performance in image synthesis and unsupervised learning (USL). In most cases, however, the representations extracted from unsupervised GAN are usually unsatisfactory in other computer vision tasks... (read more)

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