PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
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DOI:
10.1109/cvpr46437.2021.00541
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发表时间:
2021-04
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影响因子:
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通讯作者:
Kai Zhang;Fujun Luan;Qianqian Wang;Kavita Bala;Noah Snavely
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作者:
Kai Zhang;Fujun Luan;Qianqian Wang;Kavita Bala;Noah Snavely
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 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.