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MatLoom: Layered Text-to-Material Generation in a Compact Program Space

Paper recorded by Signals 4 on 2026-09-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-30 on arXiv · recorded by Signals 4 on 2026-10-01

Category: cs.AI · 人工智能 · first seen 2026-10-01

Abstract

Material generation should produce not only an appearance, but also the rules that construct it. We introduce MatLoom, a compact, layer-oriented language for text-to-material generation with pretrained language models. Each program composes alpha-masked layers whose shared spatial expressions define coverage and physically based rendering (PBR) channels, making dependencies between patterns, color

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#26 most recent of 500 cs.AI papers we have recorded · ↑ newer: Cogentic: Multi-Agent Orchestration for Automated Proof Discovery · ↓ older: Scaling Laws for Looped Mixture of Experts
Cite this page: MatLoom: Layered Text-to-Material Generation in a Compact Program Space: the #26 most recent of 500 cs.AI papers we have recorded (as of 2026-09-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/matloom-layered-text-to-material-generation-in-a-compact-program-space.html
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