{"id":49453616,"url":"https://github.com/shuochsu/DeepVideoDeblurring","last_synced_at":"2026-06-02T05:00:40.034Z","repository":{"id":265026596,"uuid":"84044731","full_name":"shuochsu/DeepVideoDeblurring","owner":"shuochsu","description":"S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. 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Given a stack of pre-aligned input frames, our network predicts a sharper central image. \n\n### Prepare data\n- Download and unzip test videos to `dataset`, from this [link](http://www.cs.ubc.ca/labs/imager/tr/2017/DeepVideoDeblurring/DeepVideoDeblurring_Dataset.zip), or place your own test video frames under `dataset/qualitative_datasets/[video_file_name]/input`.\n\n- Align frames in Matlab, by running\n```Shell\n\tpreprocess/launcher.m\n```\nOutputs should be stored at `data/testing_real_all_nostab_[alignment]` under structure\n```Shell\n\t/image_-2\n\t/image_-1\n\t/image_0\n\t/image_1\n\t/image_2\n```\nAlternatively, you can download the pre-aligned qualitative videos from [here](http://www.cs.ubc.ca/labs/imager/tr/2017/DeepVideoDeblurring/testing_real_all_nostab_OF.zip), [here](http://www.cs.ubc.ca/labs/imager/tr/2017/DeepVideoDeblurring/testing_real_all_nostab_homography.zip), and [here](http://www.cs.ubc.ca/labs/imager/tr/2017/DeepVideoDeblurring/testing_real_all_nostab_nowarp.zip).\n\n### Download pretrained weights\n- Download and unzip pretrained weights into `logs`, from [here](http://www.cs.ubc.ca/labs/imager/tr/2017/DeepVideoDeblurring/pretrained.zip).\n\n### Run prediction script\n- Run script: `sh run_pred.sh`\n- Results will be saved to `outImg`. \n\n### FAQ\n- split of the training/test sets: https://github.com/shuochsu/DeepVideoDeblurring/issues/2#issuecomment-312954167\n\n### Citation\nIf you find this code useful for your research, please cite:\n```\n@inproceedings{su2017deep,\n  title={Deep Video Deblurring for Hand-held Cameras},\n  author={Su, Shuochen and Delbracio, Mauricio and Wang, Jue and Sapiro, Guillermo and Heidrich, Wolfgang and Wang, Oliver},\n  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},\n  pages={1279--1288},\n  year={2017}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshuochsu%2FDeepVideoDeblurring","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshuochsu%2FDeepVideoDeblurring","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshuochsu%2FDeepVideoDeblurring/lists"}