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Image Generation With Neural Cellular Automatas

2020-10-10Code Available1· sign in to hype

Mingxiang Chen, Zhecheng Wang

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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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