Existing frameworks for image stitching often provide visually reasonable stitchings.
However, they suffer from blurry artifacts and disparities in illumination, depth level, etc …

Image stitching is a critical task in panorama perception that involves combining images
captured from different viewing positions to reconstruct a wider field-of-view (FOV) image …

Irregular boundaries in image stitching naturally occur due to freely moving cameras. To
deal with this problem, existing methods focus on optimizing mesh war** to make …

In this paper we explore the problem of event-based meshflow estimation a novel task that
involves predicting a spatially smooth sparse motion field from event cameras. To start we …

Image stitching is the synthesis of multiple partial image segments into a complete and
continuous panoramic image through effective image alignment and seamless fusion …

Image stitching from different captures often results in non-rectangular boundaries which is
often considered unappealing. To solve non-rectangular boundaries current solutions …

Trendy suggestions for learning-based elastic warps enable the deep image stitchings to
align images exposed to large parallax errors. Despite the remarkable alignments, the …

In this paper, we retarget video stitching to an emerging issue, named war** shake, when
extending image stitching to video stitching. It unveils the temporal instability of warped …