PhySG: Inverse Rendering with Spherical Gaussians for
Physics-based Material Editing and Relighting
CVPR 2021

Technical video

Example Real Results: View Synthesis, Relighting and Material editing

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.

BibTeX

Acknowledgements

This work was supported in part by the National Science Foundation (IIS-2008313, CHS-1900783, CHS-1930755), and by Intel.

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