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 'ArtGAN. ' One of the key innovation of ArtGAN is that, the gradient of the loss function w.r.t. the label (randomly assigned to...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers
2019
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/20519/ https://doi.org/10.1109/TIP.2018.2866698 |
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