Depth Restoration in Under-Display Time-of-Flight Imaging

Introduction

⚡| Paper |

This repo is the PyTorch implementation of our paper in TPAMI-2022 to read ToF raw measurements and recover depth from them, developed by Xin Qiao, Chenyang Ge, Pengchao Deng, Hao Wei, Matteo Poggi and Stefano Mattoccia.

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Download

• baidu: https://pan.baidu.com/s/1zOLamXNcBvwnGQXRwMl2AQ (synthetic) 提取码：y12j
• google: https://drive.google.com/drive/folders/1QDjPTZqPRskDJrKfkhrLju-ZmHRPAnXo?usp=drive_link (real)

Citation

If you use this data for your research, please cite our paper Depth Restoration in Under-Display Time-of-Flight Imaging:

@article{qiao2022depth,
  author={Qiao, Xin and Ge, Chenyang and Deng, Pengchao and Wei, Hao and Poggi, Matteo and Mattoccia, Stefano},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Depth Restoration in Under-Display Time-of-Flight Imaging}, 
  year={2023},
  volume={45},
  number={5},
  pages={5668-5683},
  doi={10.1109/TPAMI.2022.3209905}}