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Holistic understanding of urban scenes based on RGB images is a challenging yet important problem.
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation, 2020
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, and Liang-Chieh Chen · 1911
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Yohann Cabon, Naila Murray, and Martin Humenberger · 2001
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EWA splatting
M. Zwicker, H. Pfister, J. Van Baar, and M. Gross · 2002
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, 2020
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2003
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Hierarchical Multi-Scale Attention for Semantic Segmentation, 2020
Andrew Tao, Karan Sapra, and Bryan Catanzaro · 2005
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Category Level Object Pose Estimation via Neural Analysis-by-Synthesis, 2020
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, and Otmar Hilliges · 2008
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, 2021
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2008
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Piecewise planar and non-planar stereo for urban scene reconstruction
David Gallup, Jan-Michael Frahm, and Marc Pollefeys · 2010
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Building Rome in a day
Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Ian Simon, Brian Curless, Steven M. Seitz, and Richard Szeliski · 2011
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Neural Scene Graphs for Dynamic Scenes, 2021
Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, and Felix Heide · 2011
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Are we ready for autonomous driving? The KITTI vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
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A Hybrid Multiview Stereo Algorithm for Modeling Urban Scenes
Florent Lafarge, Renaud Keriven, Mathieu Bredif, and Hoang-Hiep Vu · 2013
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Structure-from-Motion Revisited
Johannes L. Schonberger and Jan-Michael Frahm · 2016
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields, 2021
Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul P. Srinivasan · 2021
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Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans, 2021
Ainaz Eftekhar, Alexander Sax, Roman Bachmann, Jitendra Malik, and Amir Zamir · 2021
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Monocular Quasi-Dense 3D Object Tracking, 2021
Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, and Min Sun · 2021
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Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas Funkhouser, and Vittorio Ferrari · 2021
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NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes, 2021
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields, 2023
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2023
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Bayes’ Rays: Uncertainty Quantification for Neural Radiance Fields, 2023
Lily Goli, Cody Reading, Silvia Sellán, Alec Jacobson, and Andrea Tagliasacchi · 2023
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StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views, 2023
Jianfei Guo, Nianchen Deng, Xinyang Li, Yeqi Bai, Botian Shi, Chiyu Wang, Chenjing Ding, Dongliang Wang, and Yikang Li · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkuehler, and George Drettakis · 2023
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Urban Radiance Field Representation with Deformable Neural Mesh Primitives, 2023
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Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, and Daniel Duckworth · 2021
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Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering
Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, and Zhaopeng Cui · 2021
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In-Place Scene Labelling and Understanding with Implicit Scene Representation, 2021
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, and Andrew J. Davison · 2021
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Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields, 2022
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2022
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Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation, 2022
Xiao Fu, Shangzhan Zhang, Tianrun Chen, Yichong Lu, Lanyun Zhu, Xiaowei Zhou, Andreas Geiger, and Yiyi Liao · 2022
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Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation, 2022
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas Guibas, Andrea Tagliasacchi, Frank Dellaert, and Thomas Funkhouser · 2022
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KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
Yiyi Liao, Jun Xie, and Andreas Geiger · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, and Changjun Jiang · 2023
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Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis, 2023
Jonathon Luiten, Georgios Kopanas, Bastian Leibe, and Deva Ramanan · 2023
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iDisc: Internal Discretization for Monocular Depth Estimation, 2023
Luigi Piccinelli, Christos Sakaridis, and Fisher Yu · 2023
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Nerfstudio: A Modular Framework for Neural Radiance Field Development
Matthew Tancik, Ethan Weber, Evonne Ng, Ruilong Li, Brent Yi, Justin Kerr, Terrance Wang, Alexander Kristoffersen, Jake Austin, Kamyar Salahi, Abhik Ahuja, David McAllister, and Angjoo Kanazawa · 2023
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SUDS: Scalable Urban Dynamic Scenes, 2023
Haithem Turki, Jason Y. Zhang, Francesco Ferroni, and Deva Ramanan · 2023
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F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories, 2023
Peng Wang, Yuan Liu, Zhaoxi Chen, Lingjie Liu, Ziwei Liu, Taku Komura, Christian Theobalt, and Wenping Wang · 2023
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Behind the Scenes: Density Fields for Single View Reconstruction, 2023
Felix Wimbauer, Nan Yang, Christian Rupprecht, and Daniel Cremers · 2023
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MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving, 2023
Zirui Wu, Tianyu Liu, Liyi Luo, Zhide Zhong, Jianteng Chen, Hongmin Xiao, Chao Hou, Haozhe Lou, Yuantao Chen, Runyi Yang, Yuxin Huang, Xiaoyu Ye, Zike Yan, Yongliang Shi, Yiyi Liao, and Hao Zhao · 2023
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Xiaoshuai Zhang, Abhijit Kundu, Thomas Funkhouser, Leonidas Guibas, Hao Su, and Kyle Genova · 2023
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Drivable 3D Gaussian Avatars, 2023
Wojciech Zielonka, Timur Bagautdinov, Shunsuke Saito, Michael Zollhöfer, Justus Thies, and Javier Romero · 2023
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