VR content creation and exploration with deep learning: A survey

M Wang, XQ Lyu, YJ Li, FL Zhang - Computational Visual Media, 2020 - Springer
Virtual reality (VR) offers an artificial, computer generated simulation of a real life
environment. It originated in the 1960s and has evolved to provide increasing immersion …

Unsupervised deep image stitching: Reconstructing stitched features to images

L Nie, C Lin, K Liao, S Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional feature-based image stitching technologies rely heavily on feature detection
quality, often failing to stitch images with few features or low resolution. The learning-based …

Deep rectangling for image stitching: A learning baseline

L Nie, C Lin, K Liao, S Liu… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Stitched images provide a wide field-of-view (FoV) but suffer from unpleasant irregular
boundaries. To deal with this problem, existing image rectangling methods devote to …

Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot

K Jang, YK An, B Kim, S Cho - Computer‐Aided Civil and …, 2021 - Wiley Online Library
This article proposes a deep learning‐based automated crack evaluation technique for a
high‐rise bridge pier using a ring‐type climbing robot. First, a ring‐type climbing robot …

Geometric structure preserving warp for natural image stitching

P Du, J Ning, J Cui, S Huang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Preserving geometric structures in the scene plays a vital role in image stitching. However,
most of the existing methods ignore the large-scale layouts reflected by straight lines or …

Learning edge-preserved image stitching from multi-scale deep homography

L Nie, C Lin, K Liao, Y Zhao - Neurocomputing, 2022 - Elsevier
Image stitching is a classical and challenging technique in computer vision, which aims to
generate an image with a wide field of view. The traditional methods heavily depend on …

End-to-end image stitching network via multi-homography estimation

DY Song, GM Um, HK Lee… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
In this letter, we propose an end-to-end stitching network, which takes two images with a
narrow field of view (FOV) as inputs, and produces a single image with a wide FOV. Our …

[Retracted] Research on Convolutional Neural Network‐Based Virtual Reality Platform Framework for the Intangible Cultural Heritage Conservation of China Hainan …

X Deng, IT Kim, C Shen - Mathematical Problems in …, 2021 - Wiley Online Library
Hainan is located at the southernmost tip of China, since ancient times it has always
occupied an important position on the Silk Road. Hainan culture is dominated by minority …

Optimized seam-driven image stitching method based on scene depth information

X Chen, M Yu, Y Song - Electronics, 2022 - mdpi.com
It is quite challenging to stitch images with continuous depth changes and complex textures.
To solve this problem, we propose an optimized seam-driven image stitching method …

RecDiffusion: Rectangling for Image Stitching with Diffusion Models

T Zhou, H Li, Z Wang, A Luo… - Proceedings of the …, 2024 - openaccess.thecvf.com
Image stitching from different captures often results in non-rectangular boundaries which is
often considered unappealing. To solve non-rectangular boundaries current solutions …