Texture, highlights, and shading are some of many visual cues that allow humans to
perceive material appearance in single pictures. Yet, recovering spatially-varying bi …

Reconstructing the shape and appearance of real‐world objects using measured 2D images
has been a long‐standing inverse rendering problem. In this paper, we introduce a new …

Appearance modeling is an essential task in computer graphics for capturing and
reproducing rich appearance of real world materials under different lighting and viewing …

Capturing spatially-varying bidirectional reflectance distribution functions (SVBRDFs) of 3D
objects with just a single, hand-held camera (such as an off-the-shelf smartphone or a DSLR …

We present a novel method for efficient acquisition of shape and spatially varying
reflectance of 3D objects using polarization cues. Unlike previous works that have exploited …

This paper addresses the task of estimating spatially-varying reflectance (ie, SVBRDF) from
a single, casually captured image. Central to our method is a highlight-aware (HA) …

This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the
realm of deep learning. The previous state-of-the-art methods for SfP have been purely …

Ellipsometry techniques allow to measure polarization information of materials, requiring
precise rotations of optical components with different configurations of lights and sensors …

We propose a novel method for high-quality facial texture reconstruction from RGB images
using a novel capturing routine based on a single smartphone which we equip with an …

Fig. 1. Polarimetric diffuse vs. specular light transport. Two linear polarization filters are
installed in front of a unpolarized projector and a camera.(a) The diffuse component of the …