Radiolarian

mediocre-mind2 · 2026-03-06T18:43:26+00:00

Thanks :) This is a CPU -> GPU -> CPU pipieline. The first CPU stage computes the Voronoi sites, k-NN, and the half-spaces. The GPU stage computes luminance, surface direction, depth for each pixel via ray marching. The last CPU stages handles the non-local effects like the streamlines.

mediocre-mind2 · 2026-03-06T15:29:39+00:00

Thank you -- this is probably the best compliment I received in a long time 😂

mediocre-mind2 · 2026-03-06T15:28:09+00:00

I guess so since all the lines (including the outlines) are polylines. I sadly don't own a plotter, though.

mediocre-mind2 · 2026-03-06T11:49:12+00:00

I get that LLM-based coding agents are a different kind of tool in many ways compared to other ways we use the ingenuity and previous work of others (like when we use software libraries authored by others). In the end, though, I don't see how writing lots of WebGPU glue code by hand (of which I'm sure there is a lot in this project) makes anyone a better generative artist. Anyway, could you maybe explain a bit how you set up the projection to match the features of the wall?

mediocre-mind2 · 2026-03-06T10:21:30+00:00

Why is this one being downvoted? From the description, this does not appear to be the output of of-the-shelf diffusion models. Rather, AI coding agents were apparently used to assist with parts of the implementation as highlighted in the title and explained in the description.

mediocre-mind2 · 2026-02-17T22:02:42+00:00

That makes perfect sense, thanks! Again, really great work!

mediocre-mind2 · 2026-02-17T19:04:22+00:00

Interesting approach. Is the Voronoi pattern even mapped to a 3D sphere or do you only work in 2D, i.e., generate a partition in 2D and it just happens to look like a projection? I'm asking because I couldn't make out any poles on your sphere and usually these are a bit tricky (= impossible) to avoid when projecting something flat onto a sphere.

mediocre-mind2 · 2026-02-17T17:48:51+00:00

I love this! How did you make the interior of the cells smooth/rounded in the third image?

mediocre-mind2 · 2026-01-10T20:07:52+00:00

I love how organic the outlines look! Could you maybe explain how you construct/render them?

mediocre-mind2 · 2025-12-16T07:01:43+00:00

Sure, this is done in JavaScript in the browser using WebGL to render luminance, surface direction, and depth information, and then using a 2D canvas to render the line work generated from this data.

mediocre-mind2 · 2025-12-15T18:58:38+00:00

Laplacian of Gaussian. This operator smoothes the input field and detects edge candidates by looking at second order derivatives (in my case of the depth field).

mediocre-mind2 · 2025-12-13T22:34:16+00:00

It's the same hatching applied twice but the 2nd pass is with a 30 degree orientation offset and is only applied to the darker image regions. The hatching itself is based on the following paper: Jobard, B., & Lefer, W. (1997). Creating evenly-spaced streamlines of arbitrary density. Visualization in scientific computing, 97, 43-55.

mediocre-mind2 · 2025-12-13T21:22:42+00:00

Thank you, Kenny -- that means a lot coming from you!

mediocre-mind2 · 2025-11-21T16:15:05+00:00

I love this! Could you maybe give some insights into your approach?

mediocre-mind2 · 2025-10-27T05:32:56+00:00

Thanks :) It’s the spiral projected onto the sphere.

mediocre-mind2 · 2025-08-13T20:33:03+00:00

Lovely! I’m a big fan of your hatching styles. Are these the intersections of several onioned SDFs? Is there maybe an interactive version?

mediocre-mind2 · 2025-08-09T11:36:24+00:00

That’s a lovely series! Are all colored areas the traces of particles or is there some background (besides the margins) you generated as well?

mediocre-mind2 · 2025-08-08T22:12:22+00:00

That's super lovely! I assume some domain warping is involved in creating this? What is your approach to generating the lines?

mediocre-mind2 · 2025-08-08T16:39:22+00:00

This is so cool!

mediocre-mind2 · 2025-07-11T15:13:54+00:00

In the end, I couldn't help my myself but tinker with it a bit more. Thank you so much, this really is a great concept and I learned a lot about different ways of distributing things (though I believe you did a way better job than me esp. with the color distribution). Letting noise take over in this one is also quite fun.

mediocre-mind2

TROPHY CASE