This repository contains the dataset of the CVPR 2022 paper, Geometric Structure Preserving Warp for Natural Image Stitching.

There are 50 diversified and challenging dataset (26 from [1–7] and 24 collected by ourselves). The numbers of images range from 2 to 35.

• GitHub

• Google NetDisk

• Baidu NetDisk

(1). Copy dataset to folder "input-data" in project. 
(2). Make sure the file "xxx-STITCH-GRAPH.txt" in each dataset correspond to the name of this dataset.
(3). You can change the relation between the images by modifying the file "xxx-STITCH-GRAPH.txt".

1. Che-Han Chang, Yoichi Sato, and Yung-Yu Chuang. Shapepreserving half-projective warps for image stitching. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3254–3261, 2014.
2. Yu-Sheng Chen and Yung-Yu Chuang. Natural image stitching with the global similarity prior. In European conference on computer vision, pages 186–201. Springer, 2016.
3. Junhong Gao, Seon Joo Kim, and Michael S Brown. Constructing image panoramas using dual-homography warping. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 49–56. IEEE, 2011.
4. Qi Jia, ZhengJun Li, Xin Fan, Haotian Zhao, Shiyu Teng,Xinchen Ye, and Longin Jan Latecki. Leveraging line-point consistence to preserve structures for wide parallax image stitching. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 12186–12195,2021.
5. Chung-Ching Lin, Sharathchandra U Pankanti, Karthikeyan Natesan Ramamurthy, and Aleksandr Y Aravkin. Adaptive as-natural-as-possible image stitching. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1155–1163, 2015.
6. Yoshikuni Nomura, Li Zhang, and Shree K Nayar. Scene collages and flexible camera arrays. In Proceedings of the 18th Eurographics conference on Rendering Techniques, pages 127–138, 2007.
7. Julio Zaragoza, Tat-Jun Chin, Michael S Brown, and David Suter. As-projective-as-possible image stitching with moving dlt. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 2339–2346, 2013.