Importance of multi-modal data for predictive rendering

Olaf Clausen, Y Chen, Arnulph Fuhrmann and Ricardo Marroquim
In: MANER Conference – Material Appearance Network for Education and Research (2024), Workshop on Material Appearance Modeling

omparison of macro photos with renderings using Cook-Torance model
Upper row: Comparison of macro photos with renderings using Cook-Torance model and our models including diffraction phenomena. Lower row: Required multi-modal reflection data for model development.

Abstract

Accurate modeling of material appearance is crucial for achieving predictive rendering. To improve reflection models, databases with measured reflection behaviors of various material and surface types are of great importance. However, current databases provide limited information, focusing either on the spectral or spatial domain and often lack microgeometry details. To address this limitation, a multi-modal database that includes reflection behavior in both spectral and spatial domains, along with comprehensive microgeometry information, is essential. Additionally, scatter information simulated with microgeometry enhances the understanding of light-matter interactions. This paper discusses the importance of multi-modal reflection data in developing more realistic and computationally efficient reflection models for predictive rendering.

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