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We present PhySG, an end-to-end inverse rendering pipeline that includes afully differentiable renderer and can reconstruct geometry, materials, andillumination from scratch from a set of RGB input images. Our frameworkrepresents specular BRDFs and environmental illumination using mixtures ofspherical Gaussians, and represents geometry as a signed distance functionparameterized as a Multi-Layer Perceptron. The use of spherical Gaussiansallows us to efficiently solve for approximate light transport, and our methodworks on scenes with challenging non-Lambertian reflectance captured undernatural, static illumination. We demonstrate, with both synthetic and realdata, that our reconstructions not only enable rendering of novel viewpoints,but also physics-based appearance editing of materials and illumination.

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