PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
원문 초록
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.
함께 살펴볼 논문
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Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction
DoubleTake: Geometry Guided Depth Estimation
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision
토론
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