PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes

• URL: http://arxiv.org/abs/2207.00757v1
• Date: Sat, 2 Jul 2022 06:52:44 GMT
• Title: PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
• Authors: Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milo\v{s} Ha\v{s}an, Kalyan Sunkavalli, Manmohan Chandraker
• Abstract summary: PhotoScene is a framework that takes input image(s) of a scene and builds a photorealistic digital twin with high-quality materials and similar lighting. We model scene materials using procedural material graphs; such graphs represent photorealistic and resolution-independent materials. We evaluate our technique on objects and layout reconstructions from ScanNet, SUN RGB-D and stock photographs, and demonstrate that our method reconstructs high-quality, fully relightable 3D scenes.
• Score: 84.66946637534089
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Most indoor 3D scene reconstruction methods focus on recovering 3D geometry and scene layout. In this work, we go 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. We model scene materials using procedural material graphs; such graphs represent photorealistic and resolution-independent materials. We optimize 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. We evaluate our technique on objects and layout reconstructions from ScanNet, SUN RGB-D and stock photographs, and demonstrate that our method reconstructs high-quality, fully relightable 3D scenes that can be re-rendered under arbitrary viewpoints, zooms and lighting.

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