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... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
AutoEncoder
|
Generative Models |