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Reconstructing object geometry and material from multiple views typicallyrequires optimization. Differentiable path tracing is an appealing framework asit can reproduce complex appearance effects. However, it is difficult to usedue to high computational cost. In this paper, we explore how to usedifferentiable ray tracing to refine an initial coarse mesh and per-mesh-facetmaterial representation. In simulation, we find that it is possible toreconstruct fine geometric and material detail from low resolution input views,allowing high-quality reconstructions in a few hours despite the expense ofpath tracing. The reconstructions successfully disambiguate shading, shadow,and global illumination effects such as diffuse interreflection from materialproperties. We demonstrate the impact of different geometry initializations,including space carving, multi-view stereo, and 3D neural networks. Finally,with input captured using smartphone video and a consumer 360? camera forlighting estimation, we also show how to refine initial reconstructions ofreal-world objects in unconstrained environments.

Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing