weird
WaveFunctionCollapse
weird | WaveFunctionCollapse | |
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12 | 99 | |
1,553 | 22,791 | |
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3.1 | 4.8 | |
about 1 year ago | 17 days ago | |
Common Lisp | C# | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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weird
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Ask HN: What weird technical scene are you fond/part of?
I like the drawingbots discord server, and this blog: https://inconvergent.net/#about, also follow #plottertwitter
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Ask HN: Resources to learn generative art programming?
processing.org/ or p5.js are both excellent tools with lots of documented examples to help get going.
I'd also recommend the pen plotter community, which is heavily involved in generative art but also enjoys physically plotting the art with robotic tools. See https://inconvergent.net/ for examples, there are many others.
- New open source project: Common Lisp 3D graphics system
- GitHub - inconvergent/weird: Generative art in Common Lisp
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Hacker News top posts: Dec 13, 2021
Weird: Generative Art in Common Lisp\ (5 comments)
- Weird: Generative Art in Common Lisp
- weird - Generative art in Common Lisp
WaveFunctionCollapse
- I use Wave Function Collapse to create levels for my game (2022) [video]
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It's Okay to Make Something Nobody Wants
Thank you! And yes, I agree. I was looking at uh https://github.com/mxgmn/WaveFunctionCollapse and wondering if that were applicable here :)
Have a good day!
- The Wavefunction Collapse Algorithm
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Kullback–Leibler Divergence
Intuitively, it measures the difference between two probability distributions. It's not symmetric, so it's not quite that, but in my opinion, it's good intuition.
As motivation, say you're an internet provider, providing internet service to a business. You naturally want to save money, so you perhaps want to compress packets before they go over the wire. Let's say the business you're providing service to also compresses their data, but they've made a mistake and do it inefficiently.
Let's say the business has, incorrectly, determined the probability distribution for their data to be $q(x)$. That is, they assign probability of seeing symbol $x$ to be $q(x)$. Let's say you've determined the "true" distribution to be $p(x)$. The entropy, or number of bits, they expect to transmit per packet/symbol will be $-\sum p(x) lg(q(x))$. Meaning, they'll compress their stream under the assumption that the distribution is $q(x)$ but the actually probability of seeing a packet, $x$, is $p(x)$, which is why the term $p(x) lg(q(x))$ shows up.
The number of bits you're transmitting is just $-\sum p(x) lg(p(x))$. Now we ask, how many bits, per packet, is the savings of your method over the businesses? This is $-\sum p(x) lg(q(x)/p(x))$, which is exactly the Kullback-Leibler divergence (maybe up to a sign difference).
In other words, given a "guess" at a distribution and the "true" distribution, how bad is it between them? This is the Kullback-Leibler distribution and why it shows up (I believe) in machine learning and fitness functions.
As a more concrete example, I just ran across a paper talking [0] about using WFC [1] to asses how well it, and other algorithms, do when trying to create generative "super mario brothers" like levels. Take a 2x2 or 3x3 grid, make a library of tiles, use that to generate a random level, then use the K-L divergence to determine how well your generative algorithm has done compared to the observed distribution from an example image.
[0] https://arxiv.org/pdf/1905.05077.pdf
[1] https://github.com/mxgmn/WaveFunctionCollapse
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All of it under the most poorly designed and maintained village
Reminds me of wave function collapse - a programmatic way to generate mazes.
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How to detect and fix isolated terrain (islands or lakes) in a tile-based terrain?
I am using WFC to generate the terrain, with pretty much a copy-paste implementation of the original WFC implemented into Unity.
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How to make wfc or post-gen script in blender?
If you still want to go the WFC route, the original WFC repository is a great place to start. There's also a (relatively barebones looking) Godot plugin you could take a look at.
- Wave Function Collapse
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collapsed
wave function collapse studies - this is done with the https://github.com/mxgmn/WaveFunctionCollapse algorithm after I saw https://github.com/CodingTrain/Wave-Function-Collapse mention it. done in P5! IG https://www.instagram.com/ronivonu/
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Room Generation Using Constraint Satisfaction
There’s an interesting approach similar to this called [Wave Function Collapse](https://github.com/mxgmn/WaveFunctionCollapse) (no relation to wfc in physics idea besides inspiration). It can infer the probabilistic constraints from one input example, and it seems to generalize quite well. Here’s a [little demo](https://oskarstalberg.com/game/wave/wave.html)
What are some alternatives?
toaruos - A completely-from-scratch hobby operating system: bootloader, kernel, drivers, C library, and userspace including a composited graphical UI, dynamic linker, syntax-highlighting text editor, network stack, etc.
Raylib-cs - C# bindings for raylib, a simple and easy-to-use library to learn videogames programming
weir - (deprecated) A system for making generative systems
eShopOnContainers - Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.
kons-9 - Common Lisp 3D Graphics Project
OpenFK - An open source replacement for the U.B. Funkeys executable.
aiaiart - Course content and resources for the AIAIART course.
DeBroglie - DeBroglie is a C# library implementing the Wave Function Collapse algorithm with support for additional non-local constraints, and other useful features.
p5 - p5 is a Python package based on the core ideas of Processing.
dnSpy-Unity-mono - Fork of Unity mono that's used to compile mono.dll with debugging support enabled
glibc-abi-tool - A repository that collects glibc .abilist files for every version and a tool to combine them into one dataset.
texture-synthesis - 🎨 Example-based texture synthesis written in Rust 🦀