NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies

Xiaoxiao LongCheng LinLingjie LiuYuan LiuPeng WangChristian TheobaltTaku KomuraWenping Wang

article2023CVPR85 citations

Citation

MLA
Long, X., et al. “NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies”. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 20834–43, https://doi.org/10.1109/CVPR52729.2023.01996.
APA
Long, X., Lin, C., Liu, L., Liu, Y., Wang, P., Theobalt, C., Komura, T., & Wang, W. (2023). NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20834–20843. https://doi.org/10.1109/CVPR52729.2023.01996
Chicago
Long, X., C. Lin, L. Liu, et al. 2023. “NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies”. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 20834–43. https://doi.org/10.1109/CVPR52729.2023.01996.
Harvard
Long, X. et al. (2023) “NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies”, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, pp. 20834–20843. Available at: https://doi.org/10.1109/CVPR52729.2023.01996.
Vancouver
1. Long X, Lin C, Liu L, Liu Y, Wang P, Theobalt C, Komura T, Wang W (2023) NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, pp 20834–20843

BibTeX

@inproceedings{Long_2023, title={NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces with Arbitrary Topologies}, url={http://dx.doi.org/10.1109/CVPR52729.2023.01996}, DOI={10.1109/cvpr52729.2023.01996}, booktitle={2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, publisher={IEEE}, author={Long, Xiaoxiao and Lin, Cheng and Liu, Lingjie and Liu, Yuan and Wang, Peng and Theobalt, Christian and Komura, Taku and Wang, Wenping}, year={2023}, month=June, pages={20834–20843} }
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