WaveFunctionCollapse
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| WaveFunctionCollapse | CodeHub | |
|---|---|---|
| 44 | 3 | |
| 18,435 | 23,240 | |
| - | 0.0% | |
| 3.7 | 0.0 | |
| 3 months ago | about 1 year ago | |
| C# | C# | |
| GNU General Public License v3.0 or later | - |
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WaveFunctionCollapse
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Show HN: Simple Wave Function Collapse
Big confusion time on the algorithm name, like many other I was also coming in expecting this to be some sort of visualization of the concept of wave function collapse from quantum physics: https://en.wikipedia.org/wiki/Wave_function_collapse
This is referring to a Procedural Generation algorithm named the Wave Function Collapse algorithm: https://github.com/mxgmn/WaveFunctionCollapse
So, about the name, the first time I've heard about WFC was when this post was released https://github.com/mxgmn/WaveFunctionCollapse
I did not included it on my readme because I did not used or even looked at their code, but that's the WFC I was referring to when I named my project.
I learned the basic concepts of WFC from different sources and try to implement them on my own.
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Any good tutorials on wave function collapse that actually show how to implement it?
Here it is shortly explained by the algorithm developer https://github.com/mxgmn/WaveFunctionCollapse
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Issues implementing the "Wave Collapse Function" algorithm in Python
To boil down the algorithm (2D overlapping model) to its essence and avoid the redondancies and clumsiness of the original C# script (surprisingly long and difficult to read). This is an attempt to make a shorter, clearer and pythonic version of this algorithm.
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GPT-3 Powered Dungeon Creator (Nearing Completion)
"Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics" https://github.com/mxgmn/WaveFunctionCollapse
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Can someone help explain wave function collapse to me?
I still think this is a great explanation, with great examples: https://github.com/mxgmn/WaveFunctionCollapse (It's also one of the earliest descriptions and implementations).
- Found a really efficient way of doing pretty good looking parallax with repeating backgrounds
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[R] SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Anyone interested in this may also be interested in this github repo which made the rounds years ago.
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Procedural generation with premade rooms
Not necessary for the basic functionality you are looking for but an interesting concept nonetheless: https://github.com/mxgmn/WaveFunctionCollapse
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Procedural Worlds from Simple Tiles
https://github.com/mxgmn/WaveFunctionCollapse
It's cool, but I agree with some other commenters that it's not a very good way to generate an entire world, but it is a cool way to generate part of a world like a maze or something.
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