Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection
Tomoki Ichikawa, Yoshiki Fukao, Shohei Nobuhara, Ko Nishino
2023年份
4顶会引用
摘要
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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引用它的顶会 Paper4
- SfPUEL: Shape from Polarization under Unknown Environment LightYouwei Lyu, Heng Guo, Kailong Zhang, Si Li 等NeurIPS 2024 · 被引用 18 次
- PolarAnything: Diffusion-based Polarimetric Image SynthesisKailong Zhang, Youwei Lyu, Heng Guo, Si Li 等ICCV 2025 · 被引用 3 次
- NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and DielectricsChenhao Li, Taishi Ono, Takeshi Uemori, Sho Nitta 等CVPR 2025
- SPIDeRS: Structured Polarization for Invisible Depth and Reflectance SensingTomoki Ichikawa, Shohei Nobuhara, Ko NishinoCVPR 2024
它引用的顶会 Paper2
- Image-based acquisition and modeling of polarimetric reflectanceSeung-Hwan Baek, Tizian Zeltner, Hyunjin Ku, Inseung Hwang 等SIGGRAPH 2020 · 被引用 52 次
- Sparse ellipsometry: portable acquisition of polarimetric SVBRDF and shape with unstructured flash photographyInseung Hwang, Daniel S. Jeon, Adolfo Muñoz, Diego Gutierrez 等SIGGRAPH 2022 · 被引用 34 次
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