Are camera poses necessary for multi-view 3D modeling? Existing approaches
predominantly assume access to accurate camera poses. While this assumption might hold …

Omnidirectional images and videos are widespread due to the popularization of devices for
capturing and visualization. Unlike pinhole-based imagery, omnidirectional media lie on the …

In this paper, we address the problem of wide-baseline camera pose estimation from a
group of 360deg panoramas under upright-camera assumption. Recent work has …

Scaled relative pose estimation ie estimating relative rotation and scaled relative translation
between two images has always been a major challenge in global Structure-from-Motion …

This research project investigates the potential of 360-panorama tours to improve the
situated and contextual interpretation, virtual visitation, and spatial understanding of …

In this paper, we introduce a novel geometry-aware self-training framework for room layout
estimation models on unseen scenes with unlabeled data. Our approach utilizes a ray …

This paper focuses on bridging the gap between natural language descriptions 360-degree
panoramas room shapes and layouts/floorplans of indoor spaces. To enable new multi …

State-of-the-art single-view 360 room layout reconstruction methods formulate the problem
as a high-level 1D (per-column) regression task. On the other hand traditional low-level 2D …

We present a room layout estimation framework that jointly learns wide baseline panorama
registration and layout estimation given a pair of 360 panoramas. To effectively tackle the …

Localizing predefined 3D keypoints in a 2D image is an effective way to establish 3D-2D
correspondences for 6DoF object pose estimation. However, unreliable localization results …