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cs.CV2026
Revisiting Shape from Polarization in the Era of Vision Foundation Models
Chenhao Li, Taishi Ono, Takeshi Uemori +1
We show that, with polarization cues, a lightweight model trained on a small dataset can outperform RGB-only vision foundation models (VFMs) in single-shot object-level surface nor…
cs.CV2024
NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
Chenhao Li, Taishi Ono, Takeshi Uemori +5
Recent inverse rendering methods have greatly improved shape, material, and illumination reconstruction by utilizing polarization cues. However, existing methods only support diele…
cs.CV2024
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
Chenhao Li, Trung Thanh Ngo, Hajime Nagahara
In this work, we propose a novel learning-based method to jointly estimate the shape and subsurface scattering (SSS) parameters of translucent objects by utilizing polarization cue…