Designing and Fabricating Color BRDFs with Differentiable Wave Optics
Modeling surface reflectance is central to connecting optical theory with real-world rendering and fabrication. While analytic BRDFs remain standard in rendering, recent advances in geometric and wave optics have expanded the design space for complex reflectance effects. However, existing wave-optics-based methods are limited to controlling reflectance intensity only, lacking the ability to design full-spectrum, color-dependent BRDFs. In this work, we present the first method for designing and fabricating color BRDFs using a fully differentiable wave optics framework. Our differentiable and memory-efficient simulation framework supports end-to-end optimization of microstructured surfaces under scalar diffraction theory, enabling joint control over both angular intensity and spectral color of reflectance. We leverage grayscale lithography with a feature size of 1.5–2.0 μ m to fabricate 15 BRDFs spanning four representative categories: anti-mirrors, pictorial reflections, structural colors, and iridescences. Compared to prior work, our approach achieves significantly higher fidelity and broader design flexibility, producing physically accurate and visually compelling results. By providing a practical and extensible solution for full-color BRDF design and fabrication, our method opens up new opportunities in structural coloration, product design, security printing, and advanced manufacturing.
Authors
- Kaizhang Kang (ORCID: https://orcid.org/0009-0004-4381-0510)
- Ki-Seok Choi (ORCID: https://orcid.org/0000-0002-2352-3889)
- Hongzhi Wu (ORCID: https://orcid.org/0000-0002-4404-2275)
- Min H. Kim (ORCID: https://orcid.org/0000-0002-5078-4005)
- Wolfgang Heidrich (ORCID: https://orcid.org/0000-0002-4227-8508)
- Hadi Amata (ORCID: https://orcid.org/0000-0002-9343-729X)
- Yixin Zeng (ORCID: https://orcid.org/0009-0006-7783-2683)
Institutions
- Korea Advanced Institute of Science and Technology (KR)
- King Abdullah University of Science and Technology (SA)
- Zhejiang University (CN)
Publication Details
- Journal
- ACM Transactions on Graphics
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1145/3763275
- Primary Topic
- Computer Graphics and Visualization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00