Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering

• URL: http://arxiv.org/abs/2110.12975v1
• Date: Mon, 25 Oct 2021 14:09:10 GMT
• Title: Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering
• Authors: Rui Li, Guangmin Zang, Miao Qi, Wolfgang Heidrich
• Abstract summary: We propose an efficient method to reconstruct the scene's 3D geometry and reflectance from multi-view photography using conventional hand-held cameras. Our method also shows superior performance compared to state-of-the-art alternatives in novel view visually synthesis and quantitatively.
• Score: 27.41344744849205
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Simultaneous reconstruction of geometry and reflectance properties in uncontrolled environments remains a challenging problem. In this paper, we propose an efficient method to reconstruct the scene's 3D geometry and reflectance from multi-view photography using conventional hand-held cameras. Our method automatically builds a virtual scene in a differentiable rendering system that roughly matches the real world's scene parameters, optimized by minimizing photometric objectives alternatingly and stochastically. With the optimal scene parameters evaluated, photo-realistic novel views for various viewing angles and distances can then be generated by our approach. We present the results of captured scenes with complex geometry and various reflection types. Our method also shows superior performance compared to state-of-the-art alternatives in novel view synthesis visually and quantitatively.

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