Sharing everything I could understand about gradient noise

This blog post provides an in-depth exploration of gradient noise, particularly focusing on its implementation using WebGL2/GLSL. It begins with the foundational 1D version of gradient noise and progressively covers 2D and 3D implementations, detailing the related mathematics and various functions such as hashing and interpolation methods. The author shares insights on procedural programming and its applications in visual effects and gaming, while emphasizing the importance of properly handling noise functions and their derivatives. Additionally, the piece discusses advanced topics such as fractal Brownian motion and alternative noise methods like OpenSimplex.