In his article “Methods for Random Gradients,” Justin Jay Wang explores various techniques for creating dynamic gradient images, drawing from his experiences at OpenAI.
He begins by discussing the use of heightmaps, where grids of cells with height values are visualized using randomized color scales, resulting in organic and visually striking gradients. Wang then delves into layered radial gradients, utilizing Scalable Vector Graphics (SVG) to overlay multiple radial gradients with random transformations, producing complex and dynamic visuals.
He also touches upon AI-generated gradients, highlighting the potential of artificial intelligence in crafting unique gradient designs. Throughout the article, Wang provides insights into the practical applications and performance considerations of each method, offering valuable guidance for designers and developers interested in incorporating random gradients into their projects.