Metalog Materials

A central aspect of modern physically based rendering is the practical yet realistic modeling of material appearance, which requires efficient and accurate representations of bidirectional reflectance distribution functions (BRDFs). In this paper, we present a unified material reflectance representation based on metalog distributions. Introducing quantile-based metalog interpolation and metalog mixture models, our representation captures a wide range of complex reflectance behaviors of both analytic models and real-world materials, while remaining interpretable and efficient. Our approach achieves competitive runtime performance and a small memory footprint, while enabling continuous interpolation between fundamentally different reflectance behaviors. Furthermore, our model is fully differentiable with respect to the coefficients defining the distributions, thus easily integrates into existing differentiable rendering pipelines. In summary, metalog materials can effectively represent real-world reflectance data, interpolate between multiple materials within a unified representation, and be acquired from real-world images via differentiable rendering.

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Publication Details

Journal
ACM Transactions on Graphics
Published
2026-11-09
DOI
https://doi.org/10.1145/3842563
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
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article

Metalog Materials

Hiroaki Sakai, Michael H. Wimmer, Christian Freude, David Hahn et al.
ACM Transactions on Graphics
Computer Graphics and Visualization Techniques
article

Metalog Materials

Hiroaki Sakai, Michael H. Wimmer, Christian Freude, David Hahn, Saip-Can Hasbay
article en

Abstract

A central aspect of modern physically based rendering is the practical yet realistic modeling of material appearance, which requires efficient and accurate representations of bidirectional reflectance distribution functions (BRDFs). In this paper, we present a unified material reflectance representation based on metalog distributions. Introducing quantile-based metalog interpolation and metalog mixture models, our representation captures a wide range of complex reflectance behaviors of both analytic models and real-world materials, while remaining interpretable and efficient. Our approach achieves competitive runtime performance and a small memory footprint, while enabling continuous interpolation between fundamentally different reflectance behaviors. Furthermore, our model is fully differentiable with respect to the coefficients defining the distributions, thus easily integrates into existing differentiable rendering pipelines. In summary, metalog materials can effectively represent real-world reflectance data, interpolate between multiple materials within a unified representation, and be acquired from real-world images via differentiable rendering.

ACM Transactions on GraphicsVol. 45(6)
TU Wien (AT)
Computer Graphics and Visualization Techniques
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Metalog Materials — Hiroaki Sakai, Michael H. Wimmer, et al. · ACM Transactions on Graphics (2026) | TGRS Research Map | TGRS