A Reflective Object Reconstruction Method Based on Neural Radiance Field
Lifen Li,
Zhengqin Yu,
Ronghua Zhang
Abstract:We propose a neural rendering-based 3D reconstruction method for reconstructing the geometry and BRDF of reflective objects from multi-view images captured in unknown environments. Multi-view reconstruction of reflective objects is extremely challenging because specular reflections are view-dependent and therefore violate multi-view consistency, which is the cornerstone of most multi-view reconstruction methods. Recent neural rendering techniques can model the interaction between ambient light and object surfa… Show more
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