Righetto, LeonardoUllah, ShakirGiachetti, AndreaComino Trinidad, MarcMancinelli, ClaudioMaggioli, FilippoRomanengo, ChiaraCabiddu, DanielaGiorgi, Daniela2025-11-212025-11-212025978-3-03868-296-72617-4855https://doi.org/10.2312/stag.20251340https://diglib.eg.org/handle/10.2312/stag20251340BASS-MLIC is a synthetic dataset created with Blender to support multi-light image processing and inverse rendering tasks. It features orthographic views of culturally significant surfaces rendered with realistic materials and includes rich ground truth annotations, such as normals, depth, shadows, materials, and BRDF parameters. These annotations enable evaluation across diverse tasks like relighting, Photometric Stereo, shadow-aware estimations, and BRDF fitting. Preliminary experiments highlight its practical utility.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Rendering; Computer vision; Applied computing → Arts and humanitiesComputing methodologies → RenderingComputer visionApplied computing → Arts and humanities10.2312/stag.202513403 pages