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[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Zehao Yu · Songyou Peng · Michael Niemeyer · Torsten Sattler · Andreas Geiger

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We demonstrate that state-of-the-art depth and normal cues extracted from monocular images are complementary to reconstruction cues and hence significantly improve the performance of implicit surface reconstruction methods.


Code coming soon


If you find our code or paper useful, please cite

@article{Yu2022MonoSDF,
  author    = {Yu, Zehao and Peng, Songyou and Niemeyer, Michael and Sattler, Torsten and Geiger, Andreas},
  title     = {MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction},
  journal   = {arXiv:2022.00665},
  year      = {2022},
}