LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields
Zhengqin Li, Dilin Wang, Ka Chen, Zhaoyang Lv, Thu Nguyen-Phuoc, Milim Lee, Jia-Bin Huang, Lei Xiao, Yufeng Zhu, Carl S. Marshall, Yuheng Ren, Richard A. Newcombe, Zhao Dong
2025Year
4Top-tier citations
Abstract
Realistic relighting Figure 1. Given small sets of images (e.g., 4 to 8), LIRM progressively reconstructs view-dependent radiance fields, geometry and material reflectance in less than a second through a feed-forward transformer, enabling realistic rendering under novel lighting conditions. All relighting examples are reconstructed from real images in Stanford-ORB [35] and DTC datasets [17].
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