Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection
Tomoki Ichikawa, Yoshiki Fukao, Shohei Nobuhara, Ko Nishino
2023Year
4Top-tier citations
Abstract
Observation Lambertian [15] + T-S [26] Ours Intensity Figure 1. We derive Fresnel Microfacet BRDF, a novel physically-based BRDF model which consolidates radiometric (left) and polarimetric (right) reflection as well as body and surface reflections of surface microgeometry in a single model. The model outperforms past physically-based models (e.g., Lambertian [15] plus Torrance-Sparrow [26] and pBRDF [2]) in accuracy and generality.
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Install the CLIlune papers fulltext 37ab0329-42ff-4a45-96b4-eed57cc06da4Cited by top-tier papers4
- SfPUEL: Shape from Polarization under Unknown Environment LightYouwei Lyu, Heng Guo, Kailong Zhang, Si Li et al.NeurIPS 2024 · 18 citations
- PolarAnything: Diffusion-based Polarimetric Image SynthesisKailong Zhang, Youwei Lyu, Heng Guo, Si Li et al.ICCV 2025 · 3 citations
- NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and DielectricsChenhao Li, Taishi Ono, Takeshi Uemori, Sho Nitta et al.CVPR 2025
- SPIDeRS: Structured Polarization for Invisible Depth and Reflectance SensingTomoki Ichikawa, Shohei Nobuhara, Ko NishinoCVPR 2024
Builds on2
- Image-based acquisition and modeling of polarimetric reflectanceSeung-Hwan Baek, Tizian Zeltner, Hyunjin Ku, Inseung Hwang et al.SIGGRAPH 2020 · 52 citations
- Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photographyInseung Hwang, Daniel S. Jeon, Adolfo Muñoz, Diego Gutierrez et al.SIGGRAPH 2022 · 34 citations
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