Light Field Super-Resolution Using Decoupled Selective Matching

Official implementation of the following paper

Yutong Liu, Zhen Cheng, Zeyu Xiao, and Zhiwei Xiong, Light Field Super-Resolution Using Decoupled Selective Matching

Paper | Bibtex

Dependencies

• Python 3 (Recommend to use Anaconda)
• Pytorch 1.7.0
• einops
• Numpy
• Scipy
• matplotlib
• TensorboardX
• MATLAB (For data preparation)

Usage

1. Dataset Preparation

• We make experiments on two benchmarks CiytU and BasicLFSR.

1.1 CiytU

• For the benchmark CiytU, please refer to ATO or SAV_conv for the preparetion of the dataset. You can downland the test dataset from BaiduYun and put them into the folder ./CiytU/data/ for a readily start.

1.2 BasicLFSR

• For the benchmark BasicLFSR, please refer to BasicLFSR for the preparetion of the dataset. You can downland the test dataset from BaiduYun and put them into the folder ./BasicLFSR/data/ for a readily start.

2. Pretrained Model Preparation

• For the Pretrained Model, please downland checkpoint from BaiduYun and put them into the folder ./CiytU/pretrained_model/, while please downland checkpoint from BaiduYun and put them into the folder ./BasicLFSR/pretrained_model/.

3. Train & test

For CityU, to train and test our DSMNet under the scale of 2 as an example:

cd ./CityU/
bash train_CityU_scale2.sh
bash test_CityU_scale2.sh

For BasicLFSR, to train and test our DSMNet under the scale of 2 as an example:

cd ./BasicLFSR/
bash train_BasicLFSR_scale2.sh
bash test_BasicLFSR_scale2.sh

Citation

If you find this work helpful, please consider citing our paper.

@ARTICLE{10268449,
  author={Liu, Yutong and Cheng, Zhen and Xiao, Zeyu and Xiong, Zhiwei},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={Light Field Super-Resolution Using Decoupled Selective Matching}, 
  year={2023},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TCSVT.2023.3321085}}

Related Projects

ATO

SAV_conv

BasicLFSR

Contact

If you have any problem about the released code, please contact me with email (ustclyt@mail.ustc.edu.cn).