IkebanaGAN: New GANs Technique for Digital Ikebana Art

In this research, we have carried out various experiments to perform mutual transformation between a domain of Ikebana (Japanese traditional flower arrangement) photos and other domains of images (landscapes, animals, portraits) to create new artworks via a variation of CycleGAN - a GANs technique based on cycle-consistency loss. A pre-trained process on object detection was added to improve the efficiency by avoiding over-transformation.