AIM 2022 challenge on super-resolution of compressed videos

Pytorch implementation of the model proposed by the IVL team for the AIM 2022 challenge on super-resolution of compressed videos (ECCV22 Workshops).

Architecture

Requirements

Ubuntu 22.04, Python 3.7.13, CUDA 11.6.

For Python requirements, see requirements.txt.

Dataset

The dataset for the challenge can be downloaded here.

Train

The code for training will be released soon.

Test

To reproduce the results, execute python test_aim_challenge.py --data_path your_dataset_path. By default, the script will output only frames 10, 20, 30 etc. If you want to output all frames, add --save_all True. The default output directory is "./Results/"

Citations

@inproceedings{yang2022aim,
  title={AIM 2022 Challenge on Super-resolution of Compressed Image and Video: Dataset, Methods and Results},
  author={Yang, Ren and Timofte, Radu and others},
  booktitle={European Conference on Computer Vision Workshops},
  year={2022}
}

Acknowledgements

Our method is based on STDF.

Contacts

For any question, please write an email to c.rota30@campus.unimib.it

claudiom4sir/AIM2022SuperResolutionOfCompressedVideos