Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision

Zisong Chen, Chunyu Lin, Lang Nie, Kang Liao, Yao Zhao. Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, Detroit, MI, USA, October 1-5, 2023. pages 10873-10879, IEEE, 2023. [doi]

@inproceedings{ChenLNLZ23,
  title = {Unsupervised OmniMVS: Efficient Omnidirectional Depth Inference via Establishing Pseudo-Stereo Supervision},
  author = {Zisong Chen and Chunyu Lin and Lang Nie and Kang Liao and Yao Zhao},
  year = {2023},
  doi = {10.1109/IROS55552.2023.10342332},
  url = {https://doi.org/10.1109/IROS55552.2023.10342332},
  researchr = {https://researchr.org/publication/ChenLNLZ23},
  cites = {0},
  citedby = {0},
  pages = {10873-10879},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023, Detroit, MI, USA, October 1-5, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-9190-7},
}