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Conference Paper

Occupancy Networks: Learning 3D Reconstruction in Function Space

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Mescheder,  Lars
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Oechsle,  Michael
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Niemeyer,  Michael
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Geiger,  Andreas
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., & Geiger, A. (2019). Occupancy Networks: Learning 3D Reconstruction in Function Space. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) (pp. 4455-4465). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.00459.


Cite as: https://hdl.handle.net/21.11116/0000-0006-F425-D
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