Snapshot Polarimetric Display Inverse Rendering
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866916042874290176 |
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| author | Choi, Seokjun Moon, Yunseong Kang, Kaizhang Chung, Hoon-Gyu Kim, Jin-Nyeong Nam, Giljoo Baek, Seung-Hwan |
| author_facet | Choi, Seokjun Moon, Yunseong Kang, Kaizhang Chung, Hoon-Gyu Kim, Jin-Nyeong Nam, Giljoo Baek, Seung-Hwan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_24915 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Snapshot Polarimetric Display Inverse Rendering Choi, Seokjun Moon, Yunseong Kang, Kaizhang Chung, Hoon-Gyu Kim, Jin-Nyeong Nam, Giljoo Baek, Seung-Hwan Graphics Computer Vision and Pattern Recognition 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. |
| title | Snapshot Polarimetric Display Inverse Rendering |
| topic | Graphics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2605.24915 |