Lune

CVPR2025Top-tier venue

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].

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

Cited by top-tier papers4

Ask how each one uses it

Builds on53

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines