MatLoom: Layered Text-to-Material Generation in a Compact Program Space
MATLOOM introduces compact, layer-oriented programs to generate material assets from text prompts. It combines explicit authoring structure with text-to-material fidelity, allowing language models to write and repair programs that define PBR channels. This method successfully generates materials that align well with prompts compared to diffusion baselines.