iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging

@article{GutierrezBarragan2021iToF2dToFAR,
  title={iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging},
  author={Felipe Gutierrez-Barragan and Huaijin Chen and Mohit Gupta and Andreas Velten and Jinwei Gu},
  journal={IEEE Transactions on Computational Imaging},
  year={2021},
  volume={7},
  pages={1205-1214}
}
Indirect Time-of-Flight (iToF) cameras are a promising depth sensing technology. However, they are prone to errors caused by multi-path interference (MPI) and low signal-to-noise ratio (SNR). Traditional methods, after denoising, mitigate MPI by estimating a transient image that encodes depths. Recently, data-driven methods that jointly denoise and mitigate MPI have become state-of-the-art without using the intermediate transient representation. In this paper, we propose to revisit the… 
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