High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs). Conditional GANs have enabled a variety of applications, but the results are often limited to low-resolution and still far from realistic. In thi
DCGAN - How does it work?
Explaining the basic mechanism of DNGAN. Planned to be presented at TensorFlow study meetup (5) in Tokyo. http://connpass.com/event/38073/ 2016/09/23 ver1.0 Upload 2016/09/26 ver1.1 Correct some wordingsRead less
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