Crystal

Crystalize What's Important in Life

How To Use

1. Download all required dependencies with this pip3 install -r requirements.txt.

2. Run the app with this python3 app.py

3. Go to this http://0.0.0.0:5000/

Note: Cuda and Cudnn is required for this to work and we don't provide them (so you are on your own).

Note: Open an issue with any problem you face, we might help 🤠

News

• 2 June 2020 Added Few Examples to show results of our pipline YouTube
• 1 June 2020 Made a YouTube video demonstrating what we have accomplished so far
• 29 May 2020 Tested Colab Environment & Seperation of the pipeline in main.py
• 14 May 2020 Added New Icon & integration of a better Super-Resolution techniques

Future Work

• Provide a working colab notebook in case there was problems in getting the site up.
• Consider making an API for developers.
• Add YouTube video downloading feaure.
• Add content in tour, explore .. pages.
• Optimize the code for faster inference.
• Make a Dockerfile of the project for easy deployment.
• Deploy on a server with a good domain name.

✨ Huge thanks for the real heroes Here and Here✨

If you find this work or code useful for your research, please cite:

@inproceedings{DAIN,
    author    = {Bao, Wenbo and Lai, Wei-Sheng and Ma, Chao and Zhang, Xiaoyun and Gao, Zhiyong and Yang, Ming-Hsuan}, 
    title     = {Depth-Aware Video Frame Interpolation}, 
    booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
    year      = {2019}
}
@article{MEMC-Net,
     title={MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement},
     author={Bao, Wenbo and Lai, Wei-Sheng, and Zhang, Xiaoyun and Gao, Zhiyong and Yang, Ming-Hsuan},
     journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
     doi={10.1109/TPAMI.2019.2941941},
     year={2018}
}
@InProceedings{wang2019edvr,
  author    = {Wang, Xintao and Chan, Kelvin C.K. and Yu, Ke and Dong, Chao and Loy, Chen Change},
  title     = {EDVR: Video restoration with enhanced deformable convolutional networks},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
  month     = {June},
  year      = {2019},
}
@Article{tian2018tdan,
  author    = {Tian, Yapeng and Zhang, Yulun and Fu, Yun and Xu, Chenliang},
  title     = {TDAN: Temporally deformable alignment network for video super-resolution},
  journal   = {arXiv preprint arXiv:1812.02898},
  year      = {2018},
}