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I've been working on a Kotlin/Compose Multiplatform to interpolate sRGB colors as mixtures of paints/pigments. It can produce results that are more appealing than the traditional sRGB interpolation that Composes uses (see screenshot). Not quite ready for release yet. github.com/romainguy/vi...

Romain Guy

@romainguy.dev

The implementation is based on the extended Kubelka-Munk theory, using a fixed paint layer thickness and a fixed substrate reflectance. The latent space is based on the great paper Practical Pigment Mixing for Digital Painting. The main difference is that my implementation uses two small MLPs.

15/6/26, 5:53 pm0 reposts6 likes

Romain Guy

@romainguy.dev

15 June

The first neural net is used to avoid using a ~50 MiB 3D LUT. The second one encodes the spectral integration and is more precise than a polynomial fit. I get excellent performance results on 5 years old Pixel phone. Still need to tweak the training though.

Romain Guy

@romainguy.dev

15 June

Bluesky is ruining my nicely dithered gradients 😅