UCLA Mathematics

Math + Code + Art

Nine tutorials connecting mathematical ideas to visual and audio output, each written as a Jupyter notebook with explanation and runnable code.

Parametric geometry driven by audio features

Mapping audio features to color and brushstroke via random walk

CPPN-generated animation conditioned on audio features

Random walk drawing with a coordinate network and audio modulation

$Neural Style Transfer$

Separating content and style using VGG19 feature maps

$Voronoi Photo Mosaic$

Voronoi tessellation over sampled image points

$Style Transfer Voronoi$

Voronoi mosaic with neural style transfer applied

Assembling a target image from a library of tile images

Image-to-point sampling and TSP optimization for single-line drawing