| // smallgdpt: a simple implementation of gradient domain path tracing | |
| // https://mediatech.aalto.fi/publications/graphics/GPT/ | |
| // adapted from smallpt by Kevin Beason http://www.kevinbeason.com/smallpt/ | |
| // and a screened poisson solver by Pravin Bhat http://grail.cs.washington.edu/projects/screenedPoissonEq/ | |
| // to build, type: g++ -o smallgdpt -fopenmp -O3 smallgdpt.cpp -L/usr/local/lib -lm -lfftw3 | |
| // you will need fftw3 http://www.fftw.org/ to compile | |
| // usage: ./smallgdpt [number of samples per pixel] | |
| #include <fftw3.h> | |
| #include <math.h> | |
| #include <stdlib.h> |
Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative
float rand(float n){return fract(sin(n) * 43758.5453123);}
float noise(float p){
float fl = floor(p);
float fc = fract(p);
| html, body, .container, .content { | |
| height: 100%; | |
| } | |
| .container, .content { | |
| position: relative; | |
| } | |
| .proper-content { | |
| padding-top: 40px; /* >= navbar height */ |