Image Generation With Neural Cellular Automatas
  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.
