PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

• URL: http://arxiv.org/abs/2104.00674v1
• Date: Thu, 1 Apr 2021 17:59:02 GMT
• Title: PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
• Authors: Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely
• Abstract summary: We present PhySG, an inverse rendering pipeline that reconstructs geometry, materials, and illumination from scratch from RGB input images. We demonstrate, with both synthetic and real data, that our reconstructions not only enable rendering of novel viewpoints, but also physics-based appearance editing of materials and illumination.
• Score: 60.75436852495868
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present PhySG, an end-to-end inverse rendering pipeline that includes a fully differentiable renderer and can reconstruct geometry, materials, and illumination from scratch from a set of RGB input images. Our framework represents specular BRDFs and environmental illumination using mixtures of spherical Gaussians, and represents geometry as a signed distance function parameterized as a Multi-Layer Perceptron. The use of spherical Gaussians allows us to efficiently solve for approximate light transport, and our method works on scenes with challenging non-Lambertian reflectance captured under natural, static illumination. We demonstrate, with both synthetic and real data, that our reconstructions not only enable rendering of novel viewpoints, but also physics-based appearance editing of materials and illumination.

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