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Marior

This repository provides the dewarping results for Marior (ACMMM 2022) on DocUNet dataset, which can be downloaded here.

Notes:

The further cropped images are obtained by runing get_further_crop_im.py.

Citation:

@inproceedings{JiaxinACMMM2022, 
Author = {Jiaxin Zhang, Canjie Luo, Lianwen Jin*, Fengjun Guo, Kai Ding*}, 
Booktitle = {Proceedings of the 30th ACM International Conference on Multimedia}, 
Title = {Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild}, 
Year = {2022}}