/CVCnet

[TMM2021] Cross View Capture for Stereo Image Super-Resolution

Primary LanguagePythonMIT LicenseMIT

CVCnet

Xiangyuan Zhu; Kehua Guo; Sheng Ren; Bin Hu; Min Hu; Hui Fang. "Cross View Capture for Stereo Image Super-Resolution", in IEEE Transactions on Multimedia IEEExplore

Requirements

  • Python 3.6 (Anaconda is recommended)
  • skimage
  • imageio
  • Pytorch 1.4.0
  • torchvision 0.5.0
  • tqdm
  • pandas
  • cv2 (pip install opencv-python)

Test

Prepare test data

  1. Download the KITTI2012 dataset and put folders testing/colored_0 and testing/colored_1 in data/test/KITTI2012/original
  2. Cd to data/test and run generate_testset.m to generate test data.
  3. (optional) You can also download KITTI2015, Middlebury or other stereo datasets and prepare test data in data/test as below:
  datasets
  └── test
      ├── dataset_1
            ├── hr
                ├── scene_1
                      ├── hr0.png
                      └── hr1.png
                ├── ...
                └── scene_M
            └── lr_x4
                ├── scene_1
                      ├── lr0.png
                      └── lr1.png
                ├── ...
                └── scene_M
      ├── ...
      └── dataset_N

Demo

python cvcnet_test.py

Train

Coming soon