Image Generation With Neural Cellular Automatas
October 10, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Mingxiang Chen, Zhecheng Wang
arXiv ID
2010.04949
Category
cs.AI: Artificial Intelligence
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper, we propose a novel approach to generate images (or other artworks) by using neural cellular automatas (NCAs). Rather than training NCAs based on single images one by one, we combined the idea with variational autoencoders (VAEs), and hence explored some applications, such as image restoration and style fusion. The code for model implementation is available online.
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