290-localization-of-deep-inpainting-using-high-pass-fully-convolutional-network
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- Host: GitHub
- Owner: SZU-AdvTech-2023
- License: mit
- Language: Python
- Default Branch: main
- Size: 1.91 MB
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Citation
https://github.com/SZU-AdvTech-2023/290-Localization-of-Deep-Inpainting-Using-High-Pass-Fully-Convolutional-Network/blob/main/
# Localization of Deep Inpainting Using High-Pass Fully Convolutional Network This is the implementation of the paper [Localization of Deep Inpainting Using High-Pass Fully Convolutional Network](http://openaccess.thecvf.com/content_ICCV_2019/html/Li_Localization_of_Deep_Inpainting_Using_High-Pass_Fully_Convolutional_Network_ICCV_2019_paper.html) (ICCV 2019). ## Requirements - Python 3 - Tensorflow >= 1.10.0 ## Usage ### Train First, prepare the training data so that the images are stored in "xxx/jpg*/xxx/" and the corresponding groundtruth masks are stored in "xxx/msk*/xxx/". Then, run the following command. ``` python3 hp_fcn.py --data_dir--logdir --mode train ``` ### Test Prepare the testing data in a similar way and run the code as follows. ``` python3 hp_fcn.py --data_dir --logdir --restore --mode test ``` ### Pretrained checkpoint The pretrained checkpoint of High-pass FCN is available at: https://drive.google.com/drive/folders/1W1f_piFIiK6JJLIXimr1vtRs8MVYLwjZ?usp=sharing ### Dataset The training and testing images inpainted with the method "Globally and locally consistent image completion" (Iizuka et al., TOG 2017) are available at: https://pan.baidu.com/s/1Df77EOoBkhukLNAz3YKT4w?pwd=gi60 ## Note This repo also includes an implementation of MFCN ([mfcn.py](mfcn.py)): Ronald Salloum, Yuzhuo Ren, and C.-C. Jay Kuo. **Image splicing localization using a multi-task fully convolutional network (MFCN)**. Journal of Visual Communication and Image Representation, 51:201209, 2018. To run the code of MFCN, you should also have the edge masks in "xxx/edg*/xxx/". ## Citation ``` @InProceedings{Li_2019_ICCV, author = {Li, Haodong and Huang, Jiwu}, title = {Localization of Deep Inpainting Using High-Pass Fully Convolutional Network}, booktitle = {The IEEE International Conference on Computer Vision (ICCV)}, pages={8301--8310}, month = {October}, year = {2019} } ``` ## Help If you have any questions, please contact: lihaodong[AT]szu.edu.cn
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- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
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- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@inproceedings{REPO290,
author = "Li, Haodong and Huang, Jiwu",
booktitle = "proceedings of the IEEE/CVF international conference on computer vision",
pages = "8301--8310",
title = "{Localization of Deep Inpainting Using High-Pass Fully Convolutional Network}",
year = "2019"
}