shuochsu / Deepvideodeblurring
Licence: mit
S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight
Stars: ✭ 151
Programming Languages
matlab
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Deep Video Deblurring for Hand-held Cameras
This is the demo code for Deep Video Deblurring for Hand-held Cameras. Given a stack of pre-aligned input frames, our network predicts a sharper central image.
Prepare data
-
Download and unzip test videos to
dataset
, from this link, or place your own test video frames underdataset/qualitative_datasets/[video_file_name]/input
. -
Align frames in Matlab, by running
preprocess/launcher.m
Outputs should be stored at data/testing_real_all_nostab_[alignment]
under structure
/image_-2
/image_-1
/image_0
/image_1
/image_2
Alternatively, you can download the pre-aligned qualitative videos from here, here, and here.
Download pretrained weights
- Download and unzip pretrained weights into
logs
, from here.
Run prediction script
- Run script:
sh run_pred.sh
- Results will be saved to
outImg
.
FAQ
- split of the training/test sets: https://github.com/shuochsu/DeepVideoDeblurring/issues/2#issuecomment-312954167
Citation
If you find this code useful for your research, please cite:
@inproceedings{su2017deep,
title={Deep Video Deblurring for Hand-held Cameras},
author={Su, Shuochen and Delbracio, Mauricio and Wang, Jue and Sapiro, Guillermo and Heidrich, Wolfgang and Wang, Oliver},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={1279--1288},
year={2017}
}
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