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

doi:10.1109/cvpr52734.2025.00056

CVPR2025顶会

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

arXiv DOI 出版方

2025年份

4顶会引用

摘要

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].