Occupancy Networks: Learning 3D Reconstruction in Function Space

Mescheder, Lars; Oechsle, Michael; Niemeyer, Michael; Nowozin, Sebastian; Geiger, Andreas

doi:10.1109/CVPR.2019.00459

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Occupancy Networks: Learning 3D Reconstruction in Function Space

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F425-D Version Permalink: https://hdl.handle.net/21.11116/0000-0006-F426-C

Genre: Conference Paper

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Creators:
Mescheder, Lars¹, Author
Oechsle, Michael¹, Author
Niemeyer, Michael¹, Author
Nowozin, Sebastian², Author
Geiger, Andreas¹, Author

Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692
2External Organizations, ou_persistent22

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Free keywords: Forschungsgruppe Geiger

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Language(s): eng - English

Dates: Published Online: 2020-01-09Date issued: 2019

Publication Status: Issued

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Identifiers: BibTex Citekey: Occupancy Networks
DOI: 10.1109/CVPR.2019.00459

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Place of Event: Long Beach, CA

Start-/End Date: 2019-06-15 - 2019-06-20

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Title: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Other : 2019 IEEE/CVP Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Source Genre: Proceedings

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Affiliations:

Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4455 - 4465 Identifier: ISBN: 978-1-7281-3293-8
ISBN: 978-1-7281-3294-5
ISSN: 2575-7075
ISSN: 1063-6919
DOI: 10.1109/CVPR41558.2019