We present PARQ-a multi-view 3D object detector with transformer and pixel-aligned
recurrent queries. Unlike previous works that use learnable features or only encode 3D point …

3D reconstruction aims to recover the dense 3D structure of a scene. It plays an essential
role in various applications such as Augmented/Virtual Reality (AR/VR), autonomous driving …

This paper proposes an effective measure for the planar segmentation problem based on
the clustering method. It uses the distance from a point to the local plane as a metric to …

Neural implicit surface representation methods show impressive reconstruction results but
struggle to handle texture-less planar regions that widely exist in indoor scenes. Existing …

Existing methods in planar region segmentation suffer the problems of vague boundaries
and failure to detect small-sized regions. To address these, this study presents an end-to …

This paper proposes a method for fast scene radiance field reconstruction with strong novel
view synthesis performance and convenient scene editing functionality. The key idea is to …

We propose VisFusion, a visibility-aware online 3D scene reconstruction approach from
posed monocular videos. In particular, we aim to reconstruct the scene from volumetric …

Abstract The Multiplane Image (MPI), containing a set of fronto-parallel RGBA layers, is an
effective and efficient representation for view synthesis from sparse inputs. Yet, its fixed …

3D scene reconstruction is a long-standing vision task. Existing approaches can be
categorized into geometry-based and learning-based methods. The former leverages multi …

Extracting planes from a 3D scene is useful for downstream tasks in robotics and augmented
reality. In this paper we tackle the problem of estimating the planar surfaces in a scene from …