In this paper, we present Neural Glyph, a system that generates novel glyph without any training data. The generator and the classifier are trained to communicate via visual symbols as a medium, which enforces the generator to come up with a set of distinctive symbols. Our method results in glyphs that resemble the human-made glyphs, which may imply that the visual appearances of existing glyphs can be attributed to constraints of communication via writing. Important tricks that enable this framework is described and the code is made available.

翻译：在本文中,我们展示了Neural Glyph, 这个系统生成新的晶体,没有经过任何培训的数据。 发电机和分类器经过培训,能够通过视觉符号作为媒介进行交流, 从而强制生成出一套独特的符号。 我们的方法所产生的晶体与人造的晶体相似, 这可能意味着现有晶体的视觉外观可以通过书写来归因于通信的局限性。 描述出使得这一框架得以实现的重要技巧,并提供了代码。