I'm working on an extension to the Modify in blocks Model Synthesis algorithm [0] and the Wave Function Collapse algorithm [1] called "Punch Out Model Synthesis

I'm working on an extension to the Modify in blocks Model Synthesis algorithm [0] and the Wave Function Collapse algorithm [1] called "Punch Out Model Synthesis": https://github.com/zzyzek/PunchOutModelSynthesis https://github.com/zzyzek/PunchOutModelSynthesis Here's a gallery of sample outputs from the algorithm: https://github.com/zzyzek/PunchOutModelSynthesis/blob/main/runs/README.md https://github.com/zzyzek/PunchOutModelSynthesis/blob/main/r... I have an online demo of the algorithm in action for different tilesets (it's a little rough, so be warned): https://zzyzek.github.io/PunchOutModelSynthesis/ https://zzyzek.github.io/PunchOutModelSynthesis/ The idea is you take an example image, chop it into little segments and infer tile rules depending on the overlap. It's very much old fashioned "machine learning/artificial intelligence" (that is, without any neural networks involved). There's also a demo of tile rule inference idea here: https://zzyzek.github.io/TileRuleHighlighter/ https://zzyzek.github.io/TileRuleHighlighter/ [0] https://github.com/mxgmn/WaveFunctionCollapse https://github.com/mxgmn/WaveFunctionCollapse [1] https://github.com/merrell42/model-synthesis https://github.com/merrell42/model-synthesis