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We present a neural rendering-based method called NeRO for reconstructing the geometry and the BRDF of reflective objects from multiview images captured in an unknown environment.
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Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan. 2018 · 2018
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SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections. In NeurIPS
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DIP: Differentiable Interreflection-aware Physics-based Inverse Rendering
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Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. In NeurIPS
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Neural point catacaustics for novel-view synthesis of reflections
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NeROIC: Neural Rendering of Objects from Online Image Collections. In SIGGRAPH
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Vox-Surf: Voxel-based implicit surface representation
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NeILF: Neural incident light field for physically-based material estimation. In ECCV
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Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, and Guofeng Zhang. 2022 · 2022
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