Flickr1024

Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution

Yingqian WangLongguang Wang  Jungang Yang  Wei An  Yulan Guo

Flickr1024 is a large-scale stereo image dataset which consists of 1024 high-quality image pairs and covers diverse senarios. Details of this dataset can be found in our published paper. Although the Flickr1024 dataset was originally developed for stereo image SR (click here for an overview), it was also used for many other tasks such as reference-based SR, stereo matching, and stereo image denoising.

Sample Images




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Notations

Acknowledgement

We would like to thank Sascha Becher and Tom Bentz for the approval of using their cross-eye stereo photographs.

Citiations

  @InProceedings{Flickr1024,
  author    = {Wang, Yingqian and Wang, Longguang and Yang, Jungang and An, Wei and Guo, Yulan},
  title     = {Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution},
  booktitle = {International Conference on Computer Vision Workshops},
  pages     = {3852-3857},
  month     = {Oct},
  year      = {2019}
  }
  
  @Article{PAM,
  author  = {Wang, Longguang and Guo, Yulan and Wang, Yingqian and Liang, Zhengfa and Lin, Zaiping and Yang, Jungang and An, Wei},
  title   = {Parallax Attention for Unsupervised Stereo Correspondence Learning},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year    = {2020},
  }
  
  @inproceedings{PASSRnet,
  title     = {Learning parallax attention for stereo image super-resolution},
  author    = {Wang, Longguang and Wang, Yingqian and Liang, Zhengfa and Lin, Zaiping and Yang, Jungang and An, Wei and Guo, Yulan},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages     = {12250--12259},
  year      = {2019}
  }

The Flickr1024 dataset was used by the following works for different tasks:

Stereo Image Super-Resolution:

Stereo Image Denoising:

Reference-based Image Super-Resolution:

Stereo Matching:

Other Tasks:

Contact

Any question regarding this work can be addressed to wangyingqian16@nudt.edu.cn.