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- W4309587614 abstract "We present a efficient multi-view inverse rendering method for large-scale real-world indoor scenes that reconstructs global illumination and physically-reasonable SVBRDFs. Unlike previous representations, where the global illumination of large scenes is simplified as multiple environment maps, we propose a compact representation called Texture-based Lighting (TBL). It consists of 3D mesh and HDR textures, and efficiently models direct and infinite-bounce indirect lighting of the entire large scene. Based on TBL, we further propose a hybrid lighting representation with precomputed irradiance, which significantly improves the efficiency and alleviates the rendering noise in the material optimization. To physically disentangle the ambiguity between materials, we propose a three-stage material optimization strategy based on the priors of semantic segmentation and room segmentation. Extensive experiments show that the proposed method outperforms the state-of-the-art quantitatively and qualitatively, and enables physically-reasonable mixed-reality applications such as material editing, editable novel view synthesis and relighting. The project page is at https://lzleejean.github.io/TexIR." @default.
- W4309587614 created "2022-11-28" @default.
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- W4309587614 date "2022-11-18" @default.
- W4309587614 modified "2023-09-23" @default.
- W4309587614 title "Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes" @default.
- W4309587614 doi "https://doi.org/10.48550/arxiv.2211.10206" @default.
- W4309587614 hasPublicationYear "2022" @default.
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