oguzhanmeteozturk / SPMC_VideoSR

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Detail-revealing Deep Video Super-resolution

by Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, Jiaya Jia. (pdf)

Our results on real data:

Real

Our results compared with other state-of-the-arts:

Comparisons

Code v0.1

Currently, we release our research code for testing. It should produce the same results as in the paper for scale factor x2 & x4 and frame number 3.

Testing

It would be very easy to understand the test() function and test on your own data.

Training

We will update the code for training and better reading after recent paper deadline.

Video Results

Here we provide video results for 15 sequences for visual and quantitative comparisons. videos pngs

Citation

If you use any part of our code, or SPMC video SR is useful for your research, please consider citing:

@InProceedings{tao2017spmc,
  author    = {Xin Tao and
               Hongyun Gao and
               Renjie Liao and
               Jue Wang and
               Jiaya Jia},
  title = {Detail-Revealing Deep Video Super-Resolution},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {Oct},
  year = {2017}
}

Contact

We are glad to hear if you have any suggestions, questions about implementation or sequences for testing.

Please send email to xtao@cse.cuhk.edu.hk

About

Repository for Detail-revealing Deep Video Super-resolution https://arxiv.org/abs/1704.02738

License:MIT License


Languages

Language:Python 100.0%