Image/video stitching is a technology for solving the field of view (FOV) limitation of
images/videos. It stitches multiple overlap** images/videos to generate a wide-FOV …

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 …

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 …

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 …

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 …

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 …

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 …

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 …