Most indoor 3D scene reconstruction methods focus on recovering 3D geometry and scene layout. This work goes beyond this to propose PhotoScene, a framework that takes input image(s) of a scene along with approximately aligned CAD geometry (either reconstructed automatically or manually specified) and builds a photorealistic digital twin with high-quality materials and similar lighting. PhotoScene models scene materials using procedural material graphs; such graphs represent photorealistic and resolution-independent materials. The model optimizes the parameters of these graphs and their texture scale and rotation, as well as the scene lighting to best match the input image via a differentiable rendering layer. The authors evaluate their technique on objects and layout reconstructions from ScanNet, SUN RGB-D and stock photographs, and demonstrate that the proposed method reconstructs high-quality, fully relightable 3D scenes that can be re-rendered under arbitrary viewpoints, zooms and lighting.