I came across this 2D noise function in the Book of Shaders
float noise(vec2 st) {
vec2 integerPart = floor(st);
vec2 fractionalPart = fract(st);
float s00 = random(integerPart);
float s01 = random(integerPart + vec2(0.0, 1.0));
float s10 = random(integerPart + vec2(1.0, 0.0));
float s11 = random(integerPart + vec2(1.0, 1.0));
float dx1 = s10 - s00;
float dx2 = s11 - s01;
float dy1 = s01 - s00;
float dy2 = s11 - s10;
float alpha = smoothstep(0.0, 1.0, fractionalPart.x);
float beta = smoothstep(0.0, 1.0, fractionalPart.y);
return s00 + alpha * dx1 + (1 - alpha) * beta * dy1 + alpha * beta * dy2;
}
It is clear what this function does: it generates four random numbers at the vertices of a square, then interpolates them. What I am finding difficult is understanding why the interpolation (the s00 + alpha * dx1 + (1 - alpha) * beta * dy1 + alpha * beta * dy2
expression) works. How is it interpolating the four values when it does not seem to be symmetric in the x and y values?
If you expand the last line, it's:
Which is symmetric in x and y. If you add up the weights:
so it's an affine combination of the values at the corners