Tensorflow implementation for learning an image-to-image translation without input-output pairs. The method is proposed by Jun-Yan Zhu in Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networkssee.
Every human face is unique and complicated, so as every city.
Faces database - custom big face crops from celebA, map databases - cities with population >10k on Google Maps.
Changes added by Sergei to original code and model - skip-connection, low L1 (cycle loss), bug fixing, depth2space instead of deconv.
