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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
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Author (1)
Kailash Ahirwar
Kailash Ahirwar
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Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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Architecture of StackGAN

StackGAN is a two-stage network. Each stage has two generators and two discriminators. StackGAN is made up of many networks, which are as follows:

  • Stack-I GAN: text encoder, Conditioning Augmentation network, generator network, discriminator network, embedding compressor network
  • Stack-II GAN: text encoder, Conditioning Augmentation network, generator network, discriminator network, embedding compressor network
Source: arXiv:1612.03242 [cs.CV]

The preceding image is self-explanatory. It represents both stages of the StackGAN network. As you can see, the first stage is generating images with dimensions of 64x64. Then the second stage takes these low-resolution images and generates high-resolution images with dimensions of 256x256. In the next few sections, we will explore the different components in the StackGAN network. Before doing this, however, let...

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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678

Author (1)

author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar