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ICASSP 2020accepted0 citations

Manet: Multi-Scale Aggregated Network For Light Field Depth Estimation

Yan Li, Lu Zhang, Qiong Wang, Gauthier Lafruit

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Abstract

We present a novel end-to-end network, MANet, for light field depth estimation. MANet is a parameter-effective and effi-cient multi-scale aggregated network, which is about 3 times smaller and 3 times faster than the current top-performing method Epinet. The MANet architecture is performed for estimating depth from light field plenoptic cameras, and experimental results show that the proposed MANet outperforms state-of-the-art methods on HCI, CVIA-HCI and EPFL Lytro light field datasets.

BibTeX
@inproceedings{icassp2020_manetmultiscalea,
  title = {Manet: Multi-Scale Aggregated Network For Light Field Depth Estimation},
  author = {Yan Li and Lu Zhang and Qiong Wang and Gauthier Lafruit},
  booktitle = {ICASSP 2020},
  year = {2020}
}