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We present a novel multi-view implicit surface reconstruction technique, termed StreetSurf, that is readily applicable to street view images in widely-used autonomous driving datasets, such as Waymo-perception sequences, without necessarily requiring LiDAR data.
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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V. Sitzmann, J. Martel, A. Bergman, D. Lindell, and G. Wetzstein · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
P. Sun, H. Kretzschmar, X. Dotiwalla, A. Chouard, V. Patnaik, P. Tsui, J. Guo, Y. Zhou, Y. Chai, B. Caine, et al · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
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Nerf++: Analyzing and improving neural radiance fields
K. Zhang, G. Riegler, N. Snavely, and V. Koltun · 2020
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Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
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Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans
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J. N. P. Martel, D. B. Lindell, C. Z. Lin, E. R. Chan, M. Monteiro, and G. Wetzstein · 2021
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B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2021
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Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
M. Oechsle, S. Peng, and A. Geiger · 2021
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Neural scene graphs for dynamic scenes
J. Ost, F. Mannan, N. Thuerey, J. Knodt, and F. Heide · 2021
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Neural geometric level of detail: Real-time rendering with implicit 3d shapes
Extracting Triangular 3D Models, Materials, and Lighting From Images
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M. Tancik, V. Casser, X. Yan, S. Pradhan, B. Mildenhall, P. P. Srinivasan, J. T. Barron, and H. Kretzschmar · 2022
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H. Turki, D. Ramanan, and M. Satyanarayanan · 2022
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Vdbfusion: Flexible and efficient tsdf integration of range sensor data
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Segformer: Simple and efficient design for semantic segmentation with transformers
E. Xie, W. Wang, Z. Yu, A. Anandkumar, J. M. Alvarez, and P. Luo · 2021
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Volume rendering of neural implicit surfaces
L. Yariv, J. Gu, Y. Kasten, and Y. Lipman · 2021
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PlenOctrees for real-time rendering of neural radiance fields
A. Yu, R. Li, M. Tancik, H. Li, R. Ng, and A. Kanazawa · 2021
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Mip-nerf 360: Unbounded anti-aliased neural radiance fields
J. T. Barron, B. Mildenhall, D. Verbin, P. P. Srinivasan, and P. Hedman · 2022
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Efficient geometry-aware 3d generative adversarial networks
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S. Esposito, D. Baieri, S. Zellmann, A. Hinkenjann, and E. Rodolà · 2022
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Neural fields in visual computing and beyond
Y. Xie, T. Takikawa, S. Saito, O. Litany, S. Yan, N. Khan, F. Tombari, J. Tompkin, V. Sitzmann, and S. Sridhar · 2022
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Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
Z. Yu, S. Peng, M. Niemeyer, T. Sattler, and A. Geiger · 2022
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Critical regularizations for neural surface reconstruction in the wild
J. Zhang, Y. Yao, S. Li, T. Fang, D. McKinnon, Y. Tsin, and L. Quan · 2022
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Read: Large-scale neural scene rendering for autonomous driving
Z. Li, L. Li, and J. Zhu · 2023
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Z. Liang, Z. Huang, C. Ding, and K. Jia · 2023
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Y. Liu, Y. Bai, K. Lingdong, R. Chen, Y. Hou, B. Shi, and Y. Li · 2023
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Progressively optimized local radiance fields for robust view synthesis
A. Meuleman, Y.-L. Liu, C. Gao, J.-B. Huang, C. Kim, M. H. Kim, and J. Kopf · 2023
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Neural 3d reconstruction from sparse views using geometric priors
T.-J. Mu, H.-X. Chen, J.-X. Cai, and N. Guo · 2023
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J. Qiu, P.-T. Jiang, Y. Zhu, Z.-X. Yin, M.-M. Cheng, and B. Ren · 2023
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Permutosdf: Fast multi-view reconstruction with implicit surfaces using permutohedral lattices
R. A. Rosu and S. Behnke · 2023
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Suds: Scalable urban dynamic scenes
H. Turki, J. Y. Zhang, F. Ferroni, and D. Ramanan · 2023
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S-nerf: Neural radiance fields for street views
Z. Xie, J. Zhang, W. Li, F. Zhang, and L. Zhang · 2023
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