Two-Shot Spatially-Varying BRDF and Shape Estimation
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz
2020Year
41Top-tier citations
Abstract
Flash No-Flash Mask Novel Re-render Diffuse Specular Roughness Normal Depth * Work done during an internship at NVIDIA. Dataset and Code available at: markboss.me/publication/ cvpr20-two-shot-brdf ing dataset with domain-randomized geometry and realistic materials. Extensive experiments on both synthetic and real-world datasets show that our networks trained on a synthetic dataset can generalize well to real-world images. Comparisons with recent approaches demonstrate the superior performance of the proposed approach.
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Cited by top-tier papers41
- NeRD: Neural Reflectance Decomposition from Image CollectionsMark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron et al.ICCV 2021 · 608 citations
- Extracting Triangular 3D Models, Materials, and Lighting From ImagesJacob Munkberg, Wenzheng Chen, Jon Hasselgren, Alex Evans et al.CVPR 2022 · 306 citations
- Neural-PIL: Neural Pre-Integrated Lighting for Reflectance DecompositionMark Boss, Varun Jampani, Raphael Braun, Ce Liu et al.NeurIPS 2021 · 270 citations
- Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingJon Hasselgren, Nikolai Hofmann, Jacob MunkbergNeurIPS 2022 · 234 citations
- ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingJasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra et al.CVPR 2022 · 117 citations
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