# STARnet

**Repository Path**: AI52CV/STARnet

## Basic Information

- **Project Name**: STARnet
- **Description**: CVPR2020时空感知的多分辨率视频增强技术
Space-Time-Aware Multi-Resolution Video Enhancement
https://alterzero.github.io/projects/STAR.html
代码原地址：https://github.com/alterzero/STARnet
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2021-04-05
- **Last Updated**: 2021-04-05

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020)

Project page: https://alterzero.github.io/projects/STAR.html

## Dependencies
* Python 3.5
* PyTorch >= 1.0.0
* Pyflow -> https://github.com/pathak22/pyflow
  ```Shell
  cd [STARnet]
  git clone https://github.com/pathak22/pyflow
  cd pyflow/
  python setup.py build_ext -i
  cp pyflow*.so ..
  ```

## Dataset
* [Vimeo-90k triplets Dataset](http://toflow.csail.mit.edu)
* [UCF101](https://github.com/liuziwei7/voxel-flow)
* [Middlebury dataset](http://vision.middlebury.edu/flow/data/)

## Pretrained Model and Testset
https://drive.google.com/drive/folders/1cLZhlx4PLhF75qIZYxuVKLRKzN5_6i8r?usp=sharing

## HOW TO
### Train w/o FR
    ```python
    main.py
    ```
### Train w/ FR
    ```python
    main_refinement_flow.py
    ```
### Train w/ FR for STAR-T-HR
    ```python
    main_refinement_t_sr_hr.py
    ```

### Evaluate STAR, STAR-ST, STAR-S, STAR-T-LR
    ```python
    eval.py
    ```
### Evaluate STAR-T-HR
    ```python
    eval_star_t_hr.py
    ```

![RBPN](https://alterzero.github.io/projects/STAR2.png)

## Related work
### [Deep Back-Projection Networks for Super-Resolution (CVPR2018)](https://github.com/alterzero/DBPN-Pytorch)
#### Project page: https://alterzero.github.io/projects/DBPN.html
##### Winner (1st) of [NTIRE2018](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w13/Timofte_NTIRE_2018_Challenge_CVPR_2018_paper.pdf) Competition (Track: x8 Bicubic Downsampling)
##### Winner of [PIRM2018](https://arxiv.org/pdf/1809.07517.pdf) (1st on Region 2, 3rd on Region 1, and 5th on Region 3)
### [Recurrent Back-Projection Network for Video Super-Resolution (CVPR2019)](https://github.com/alterzero/RBPN-PyTorch)
#### Project page: https://alterzero.github.io/projects/RBPN.html
##### Honorable mention of NTIRE2019 (Video Super-resolution and Deblurring)

## Citations
If you find this work useful, please consider citing it.
```
@inproceedings{STAR2020,
  title={Space-Time-Aware Multi-Resolution Video Enhancement},
  author={Haris, Muhammad and Shakhnarovich, Greg and Ukita, Norimichi},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020}
}
```