gaseous-giganticus VS Noise-Extras

I think the curl noise paper is from 2007: https://www.cs.ubc.ca/~rbridson/docs/bridson-siggraph2007-cu...

I've used the basic idea from that paper to make a surprisingly decent program to create gas-giant planet textures: https://github.com/smcameron/gaseous-giganticus

Gaseous-giganticus - procedurally generates gas giant planet textures for space games, etc.

This is what gaseous-giganticus uses. Combined with some other techniques, it can help with making some clouds for earthlike planets, but not in real time. Mentioned here previously. The process I use for making earthlike planets with clouds for Space Nerds in Space is described here.

Here's my own gas giant thingy, which produces (what I imagine to be) decent results, but is quite slow.

Hi. I'm the author of gaseous-giganticus. You do not need to apply the patch, as it was incorporated into the source already a long time ago: https://github.com/smcameron/gaseous-giganticus/commit/b3ca95f2f3975d6ca97029dae166e2daf068b3f0

I needed some gas giant textures for planets in my space game so I made this thing, which also ended up getting used by other people for their Kerbal Space Program mods.

Is that gaseous-giganticus output that I spy?

I've made a couple. For gas giants, gaseous-giganticus. For earthlike, or rocky planets, there's a program called "earthlike.c" in the space-nerds-in-space repo. Other than allowing you to supply an input image to use more or less as a color palette, they don't allow much in terms of customization, though there are quite a few knobs you can turn.

Most innovative thing, or what I'm most astonished I actually successfully pulled off against all odds, is probably gaseous-giganticus, which is a program that uses curl noise for procedural fluid flow(pdf) on the surface of a sphere to create cubemap textures for procedurally generated gas giant planets.

If it helps, I wrote an implementation inspired by this here: https://github.com/KdotJPG/Noise-Extras/blob/master/OpenSimplex2S_Exp.java

Periodicity is definitely a limitation of Simplex, at least without complicated skew adjustments. I wouldn't say this limitation should hold the noise back for non-periodic applications, but it certainly can't be ignored when it does come to them.

Yep! You also need to slightly adjust the grid skew so that the corners of your target square/rectangle coincide with vertices on the noise grid. Example implementation: https://github.com/KdotJPG/Noise-Extras/blob/master/OpenSimplex2S_ImprovedXZPlanes_TileableXZ.java

I have this https://github.com/KdotJPG/Noise-Extras/blob/master/OpenSimplex2S_Exp.java but it's up to you whether or not you'd consider it a good library.

Tileability is an issue, you're right. Perhaps I should have made a note on that in the article. I've made some progress in the code at this link to bring proper tileability to simplex-type. It's quite usable as-is, but it does still need work to become the best it can. In particular I need to take a closer look at performance (I accounted hard for the grid re-skewing in a way that won't make much difference given a sufficiently-large repeat period), configurability (tileable in either 2 or 3 axes), quality (mostly I could improve the primes in the hash function I used), and variety (bring this to more algos/dimensionalities).

Either way /u/pds314 I would look for a good simplex-type noise impl that supports derivatives. Here's one. Alternatively, here's a domain-rotated Perlin which addresses its square artifacts by rotating them out of the evaluation plane of focus through the extra dimension. In this, use X and Y of the 3D "ImproveXY" function" or X and Z of the 3D "ImproveXZ" function for derivatives. In the OpenSimplex2S, you can just use the 2D function with derivatives.

Code for the domain rotation in Java is here. There are various wrappers. You would want one of the methods noise4_ImproveXYZ_ImproveXY, noise4_ImproveXYZ_ImproveXZ, or noise4_ImproveXYZ. You could copy the code from these wrappers directly, or convert it to matrix form to write it compactly in GLSL. For example, noise4_ImproveXYZ_ImproveXZ would be this. Note that I'm using left multiplication so the column-major constructor format can be rearranged to show up the way you would typically write the matrix when doing linear algebra if doing right multiplication.

Depends on: this. Would also work well with this, or also this if you adapt to its features.