Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork
This paper proposes a series of new approaches to improve generative adversarial network (GAN) for conditional image synthesis and we name the proposed model as āArtGAN. ā One of the key innovation of ArtGAN is that, the gradient of the loss function w.r.t. the label (randomly assigned to each generated ā¦