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About Anysize GAN: A Solution To The Image-Warping Problem
This document summarizes a research paper that proposes a new type of Generative Adversarial Network (GAN) called Anysize GAN. The Anysize GAN aims to resolve an issue with existing GANs, which require uniformly sized images for training. However, real-world datasets contain images of varying sizes. The proposed network architecture allows GANs to generate images of any size on-the-fly during training and inference by adding multiple inputs and a novel dynamic resizing layer. The network is validated on a skin lesion dataset and is able to generate realistic images of different sizes without warping or changing spatial relationships.
Detailed Information
| Author: | ['tiokcek'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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