3 papers
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.CV2023
NeISF: Neural Incident Stokes Field for Geometry and Material Estimation
Chenhao Li, Taishi Ono, Takeshi Uemori +4
Multi-view inverse rendering is the problem of estimating the scene parameters such as shapes, materials, or illuminations from a sequence of images captured under different viewpo…