Abstract:Inverse rendering remains a core challenge in graphics and vision, especially in the snapshot configurations required for lightweight desktop workflows, where the per-frame information budget is highly constrained. Previous inverse rendering work explores various available dimensions for enriching the per-shot information, including temporal modulation, spectral encoding, and polarization. In this work, we introduce polarimetric display inverse rendering, using an LCD to project a linearly polarized RGB binary pattern and an RGB polarization camera augmented with a quarter-wave plate to acquire spectro-polarimetric measurements in a single shot. A feed-forward transformer maps these measurements to per-pixel normal, albedo, roughness, and metallicity. To overcome training data scarcity, we expand a limited set of measured polarimetric bidirectional reflectance distribution functions via a generative manifold. Evaluations on a real desktop setup demonstrate accurate inverse rendering across diverse scenes, outperforming existing approaches.
| Subjects: | Graphics (cs.GR); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2605.24915 [cs.GR] |
| (or arXiv:2605.24915v1 [cs.GR] for this version) | |
| https://doi.org/10.48550/arXiv.2605.24915 arXiv-issued DOI via DataCite (pending registration) |
From: Seokjun Choi [view email]
[v1]
Sun, 24 May 2026 07:40:11 UTC (43,370 KB)
此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。