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2017

Megapixel Size Image Creation using Generative Adversarial Networks

Marchesi, Marco

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Understand

Since its appearance, Generative Adversarial Networks (GANs) have received a lot of interest in the AI community.

In image generation several projects showed how GANs are able to generate photorealistic images but the results so far did not look adequate for the quality standard of visual media production industry.
We present an optimized image generation process based on a Deep Convolutional Generative Adversarial Networks (DCGANs), in order to create photorealistic high-resolution images (up to 1024x1024 pixels).
Furthermore, the system was fed with a limited dataset of images, less than two thousand images.

Megapixel Size Image Creation using Generative Adversarial Networks · Around

Built on

Generative Adversarial Networks
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Original
A. Radford, L. Metz, and S. Chintala · 2015
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