Neural Field Multi-view Shape-from-polarisation

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dc.contributor.authorWanaset, Rapeeen_US
dc.contributor.authorGuarnera, Giuseppe Claudioen_US
dc.contributor.authorSmith, William A. P.en_US
dc.contributor.editorWang, Beibeien_US
dc.contributor.editorWilkie, Alexanderen_US
dc.date.accessioned2025-06-20T07:55:08Z
dc.date.available2025-06-20T07:55:08Z
dc.date.issued2025
dc.description.abstractWe tackle the problem of multi-view shape-from-polarisation using a neural implicit surface representation and volume rendering of a polarised neural radiance field (P-NeRF). The P-NeRF predicts the parameters of a mixed diffuse/specular polarisation model. This directly relates polarisation behaviour to the surface normal without explicitly modelling illumination or BRDF. Via the implicit surface representation, this allows polarisation to directly inform the estimated geometry. This improves shape estimation and also allows separation of diffuse and specular radiance. For polarimetric images from division-of-focal-plane sensors, we fit directly to the raw data without first demosaicing. This avoids fitting to demosaicing artefacts and we propose losses and saturation masking specifically to handle HDR measurements. Our method achieves state-of-the-art performance on the PANDORA benchmark. We apply our method in a lightstage setting, providing single-shot face capture.en_US
dc.description.number4
dc.description.sectionheadersDifferentiable Rendering
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume44
dc.identifier.doi10.1111/cgf.70177
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.70177
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf70177
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Reconstruction
dc.subjectComputing methodologies → Reconstruction
dc.titleNeural Field Multi-view Shape-from-polarisationen_US
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