Chen, DehanHuang, HongyuLuo, YuzheXu, HaoZhang, YuqingYang, SipengGao, XifengCai, HengLi, ChaoJin, XiaogangMasia, BelenThies, Justus2026-04-172026-04-1720261467-8659https://diglib.eg.org/handle/10.1111/cgf70316https://doi.org/10.1111/cgf.70316To address the storage overhead of lightmaps and the limitations of existing compression techniques, we propose a novel UV-space compression framework based on per-triangle processing. By mapping triangles to a standardized domain, we cluster and repack color-coherent regions into a compact atlas, generating a cascade texture refined via differentiable rendering. Experimental results show an average storage reduction of 83% with approximately 10 dB higher PSNR than existing methods. Our approach is the first dedicated lightmap compression framework compatible with standard block-based formats, offering an effective solution for memory-efficient 3D asset delivery.CC-BY-4.0CCS Concepts: Computing methodologies → Computer graphics;CCS ConceptsComputing methodologies → Computer graphicsLightmap Compression with Color-Coherent UV Clustering and Cascade Texture Optimization10.1111/cgf.7031611 pages