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Tomoki Ichikawa

4 accepted papers

2025

MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views

CVPR 2025highlight

We present a novel appearance model that simultaneously realizes explicit high-quality 3D surface mesh recovery and photorealistic novel view synthesis from sparse view samples. Our key idea is to model the underlying scene geometry Mesh as an Atlas of Charts which we render with 2D Gaussian surfels…

Cited by 0SourcePDFScholar
2024

SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing

CVPR 2024poster

Can we capture shape and reflectance in stealth? Such capability would be valuable for many application domains in vision xR robotics and HCI. We introduce structured polarization for invisible depth and reflectance sensing (SPIDeRS) the first depth and reflectance sensing method using patterns of p…

Cited by 3SourcePDFScholar
2023

Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection

CVPR 2023poster

Computer vision applications have heavily relied on the linear combination of Lambertian diffuse and microfacet specular reflection models for representing reflected radiance, which turns out to be physically incompatible and limited in applicability. In this paper, we derive a novel analytical refl…

Cited by 8SourcePDFScholar
2021

Shape From Sky: Polarimetric Normal Recovery Under the Sky

CVPR 2021poster

The sky exhibits a unique spatial polarization pattern by scattering the unpolarized sun light. Just like insects use this unique angular pattern to navigate, we use it to map pixels to directions on the sky. That is, we show that the unique polarization pattern encoded in the polarimetric appearanc…

Cited by 26PDFScholar