Traditional image stitching approaches tend to leverage increasingly complex geometric
features (point, line, edge, etc.) for better performance. However, these hand-crafted features …

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 …

Not everybody can be equipped with professional photography skills and sufficient shooting
time, and there can be some tilts in the captured images occasionally. In this paper, we …

The digital construction of cultural heritage promotes communication and sharing of digital
cultural resources across time and space. Digital storage serves as the foundation for the …

In this paper, we introduce a novel concept called seamless-through-breaking to tackle the
challenges that arise in image stitching. Conventional methods attempt to maintain war** …

Addressing the challenges of artifacts, misalignment, and distortion in complex scenarios,
which arise from difficulties in feature extraction from images, we proposed a novel …

Parallax image stitching often encounters issues such as misalignment of internal objects
within the images and the presence of artifacts in the stitched images. To address these …

We propose a simple and effective attention module, called Efficient Channel-and-
Coordinate Attention (ECCA), which can be applied to CNN-based image stitching models …

针对现有图像拼接方法存在拼接处伪影以及非重叠区域内容失真, 导致较低的准确性和鲁棒性的
问题, 提出一种基于U-Net++ 消除伪影的青花瓷碎片图像拼接方法. 首先估计待拼接图像单应性 …