@ARTICLE{9563214,
author={Song, Xibin and Zhou, Dingfu and Li, Wei and Dai, Yuchao and Liu, Liu and Li, Hongdong and Yang, Ruigang and Zhang, Liangjun},
journal={IEEE Transactions on Multimedia},
title={WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution},
year={2022},
volume={24},
pages={4113-4127},
doi={10.1109/TMM.2021.3118282}}├── data_all/
│ ├── alley_1_1.png
│ ├── ...
│ └── ...
The data_all dataset combines the Middlebury dataset / MPI Sintel dataset and the synthetic New Tsukuba dataset.
You can download datasets on this webpage. Then, you need to unzip and move corresponding datasets to follow the folder structure shown above. The datasets have been well-prepared by the original authors.