We present a novel multi-view implicit surface reconstruction technique, termed StreetSurf,
that is readily applicable to street view images in widely-used autonomous driving datasets …

We present a novel differentiable rendering framework for joint geometry, material, and
lighting estimation from multi-view images. In contrast to previous methods which assume a …

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 …

This paper studies implicit surface reconstruction leveraging differentiable ray casting.
Previous works such as IDR and NeuS overlook the spatial context in 3D space when …

In this work, we introduce our method of outdoor scene relighting for Neural Radiance Fields
(NeRF) named Sun-aligned Relighting TensoRF (SR-TensoRF). SR-TensoRF offers a …

Physics-based inverse rendering enables joint optimization of shape, material, and lighting
based on captured 2D images. To ensure accurate reconstruction, using a light model that …

We introduce a method for high-quality 3D reconstruction from multi-view images. Our
method uses a new point-based representation, the regularized dipole sum, which …

Abstract 3D reconstruction from a single-view is challenging because of the ambiguity from
monocular cues and lack of information about occluded regions. Neural radiance fields …

Facial geometry and appearance capture have demonstrated tremendous success in 3D
scanning real humans in studios. Recent works propose to democratize this technique while …

Shadows can originate from occlusions in both direct and indirect illumination. Although
most current shadow removal research focuses on shadows caused by direct illumination …