In recent years, neural implicit surface reconstruction methods have become popular for
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …

Point cloud processing is an essential task in many applications in the AEC domain, such as
automated progress assessment, quality control and 3D reconstruction. As much of the …

This paper addresses the challenge of reconstructing 3D indoor scenes from multi-view
images. Many previous works have shown impressive reconstruction results on textured …

Recently, implicit neural representations have gained popularity for learning-based 3D
reconstruction. While demonstrating promising results, most implicit approaches are limited …

Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …

Traditional approaches to stereo visual simultaneous localization and mapping (SLAM) rely
on point features to estimate the camera trajectory and build a map of the environment. In …

We propose an algorithm to predict room layout from a single image that generalizes across
panoramas and perspective images, cuboid layouts and more general layouts (eg" L"-shape …

3D layout is crucial for scene understanding and reconstruction, and very useful in
applications like real estate and furniture design. In this paper, we propose a fully automatic …

Featured Application This work proposes a semi-automatic approach for the 3D
reconstruction of existing buildings from point clouds in the context of BIM. This process …

We present a new approach to the problem of estimating the 3D room layout from a single
panoramic image. We represent room layout as three 1D vectors that encode, at each image …