Behind the Scenes: Density Fields for Single View Reconstruction (bibtex)
by F Wimbauer, N Yang, C Rupprecht and D Cremers
Reference:
Behind the Scenes: Density Fields for Single View Reconstruction (F Wimbauer, N Yang, C Rupprecht and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. ([project page])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{wimbauer2023behind,
 title = {Behind the Scenes: Density Fields for Single View Reconstruction},
 author = {F Wimbauer and N Yang and C Rupprecht and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2023},
 eprinttype = {arXiv},
 eprint = {2301.07668},
 eprintclass = {cs.CV},
 keywords = {depth prediction, volumetric, nerf, mvs, deep learning, SLAM, vslam, reconstruction},
 titleurl = {wimbauer2023behind.png},
}
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Behind the Scenes: Density Fields for Single View Reconstruction (bibtex)
Behind the Scenes: Density Fields for Single View Reconstruction (bibtex)
by F Wimbauer, N Yang, C Rupprecht and D Cremers
Reference:
Behind the Scenes: Density Fields for Single View Reconstruction (F Wimbauer, N Yang, C Rupprecht and D Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. ([project page])
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{wimbauer2023behind,
 title = {Behind the Scenes: Density Fields for Single View Reconstruction},
 author = {F Wimbauer and N Yang and C Rupprecht and D Cremers},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2023},
 eprinttype = {arXiv},
 eprint = {2301.07668},
 eprintclass = {cs.CV},
 keywords = {depth prediction, volumetric, nerf, mvs, deep learning, SLAM, vslam, reconstruction},
 titleurl = {wimbauer2023behind.png},
}
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members:yangn

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Nan Yang

PhD student

Technical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Fax: +49-89-289-17757
Office: 
Mail: yangn@in.tum.de

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Research Interests

My research interests lie in incorporating deep learning into classical visual odometry and SLAM.

Brief Bio

Nan Yang received his Bachelor's degree in Computer Science from Beijing University of Posts and Telecommunications and his Master's degree in Informatics from the Technical University of Munich. Since May 2018, he is a Ph.D. student and senior computer vision researcher in Artisense, a startup co-founded by Prof. Daniel Cremers.

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