This tutorial presents a hands-on view of the field of multi-view stereo with a focus on
practical algorithms. Multi-view stereo algorithms are able to construct highly detailed 3D …

Abstract 3D reconstruction of scenes using multiple images, relying on robust
correspondence search and depth estimation, has been thoroughly studied for the two‐view …

We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for
high-resolution multi-view stereo. With high computation speed and low memory …

We propose a novel point-based representation, Gaussian surfels, to combine the
advantages of the flexible optimization procedure in 3D Gaussian points and the surface …

We present a learnt system for multi-view stereopsis. In contrast to recent learning based
methods for 3D reconstruction, we leverage the underlying 3D geometry of the problem …

Learning-based methods are demonstrating their strong competitiveness in estimating depth
for multi-view stereo reconstruction in recent years. Among them the approaches that …

In this paper, we propose an efficient multi-scale geometric consistency guided multi-view
stereo method for accurate and complete depth map estimation. We first present our basic …

In this paper, we propose some efficient multi-view stereo methods for accurate and
complete depth map estimation. We first present our basic methods with Adaptive …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

This paper proposes a novel algorithm for multiview stereopsis that outputs a dense set of
small rectangular patches covering the surfaces visible in the images. Stereopsis is …