[00856] Successive image generation though cyclic transformations using CycleGAN
Session Time & Room : 3C (Aug.23, 13:20-15:00) @E811
Type : Contributed Talk
Abstract : CycleGAN is a deep generative adversarial networks that performs image to image style translation by learning relationship between two image domains.
By using CycleGAN, here we developed a model performing cyclical transformation that generates a series of similar images. This system can be regarded as a dynamical system; it can continuously sample various images along the trajectory of the dynamical system. The chaotic behavior of this deep model was studied.