TilesetNet: An Amateur CNN Autoencoder
18A Convolutional Neural Network that turns basic concept art, portraits or gameplay screenshots into usable tilesets! It still has a long way to go, but it was a fun and rewarding project!
Citations (seen on bottom right of frames that use them):
[1] Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. "Image style transfer using convolutional neural networks." 2016 IEEE conference on computer vision and pattern recognition (CVPR), 2016.
[2] Fu, Qiwen, Wei-Ting Hsu, and Mu-Heng Yang. "Colorization using ConvNet and GAN." 2017. Available: Stanford, http://cs231n.stanford.edu/reports/2017/pdfs/302.pdf. [Accessed April 29, 2020].
[3] O. Ronneberger, P. Fischer, and T. Brox. U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 234–241. Springer, 2015.
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