In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems …
Y Du, C Smith, A Tewari… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We introduce a method for novel view synthesis given only a single wide-baseline stereo image pair. In this challenging regime, 3D scene points are regularly observed only once …
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 …
J Kopf, X Rong, JB Huang - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
We present an algorithm for estimating consistent dense depth maps and camera poses from a monocular video. We integrate a learning-based depth prior, in the form of a …
Numerous single image blind deblurring algorithms have been proposed to restore latent sharp images under camera motion. However, these algorithms are mainly evaluated using …
The Ken Burns effect allows animating still images with a virtual camera scan and zoom. Adding parallax, which results in the 3D Ken Burns effect, enables significantly more …
J Zaragoza, TJ Chin, MS Brown… - Proceedings of the …, 2013 - openaccess.thecvf.com
We investigate projective estimation under model inadequacies, ie, when the underpinning assumptions of the projective model are not fully satisfied by the data. We focus on the task …
J Zhang, C Wang, S Liu, L Jia, N Ye, J Wang… - Computer Vision–ECCV …, 2020 - Springer
Homography estimation is a basic image alignment method in many applications. It is usually conducted by extracting and matching sparse feature points, which are error-prone …
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 …