MatLoom: Layered Text-to-Material Generation in a Compact Program Space
AI that writes recipes for textures, not just pictures of them
A new tool called MatLoom uses AI language models to generate material textures from text descriptions—but instead of producing just images, it outputs compact, readable code that explains how each texture layer is built. In human preference tests, materials created this way won 59% of votes against leading competitor methods, and the code stays short enough (around 21 lines) that artists can edit it by hand afterward.
Video game developers, architects, and 3D artists currently spend hours manually tweaking texture parameters or editing AI-generated images to get what they want. MatLoom's approach gives them editable source code instead—meaning they can ask an AI to "generate a worn leather texture" and then actually modify the underlying rules (layer opacity, color shifts, roughness patterns) rather than starting over from scratch. This cuts iteration time and gives creators real control over what the AI builds.