Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset
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Abstract (arXiv)
We present UrbanScene3D, a large-scale data platform for research of urban scene perception and reconstruction. UrbanScene3D contains over 128k high-resolution images covering 16 scenes including large-scale real urban regions and synthetic cities with 136 km^2 area in total. The dataset also contains high-precision LiDAR scans and hundreds of image sets with different observation patterns, which provide a comprehensive benchmark to design and evaluate aerial path planning and 3D reconstruction algorithms. In addition, the dataset, which is built on Unreal Engine and Airsim simulator together with the manually annotated unique instance label for each building in the dataset, enables the generation of all kinds of data, e.g., 2D depth maps, 2D/3D bounding boxes, and 3D point cloud/mesh segmentations, etc. The simulator with physical engine and lighting system not only produce variety of data but also enable users to simulate cars or drones in the proposed urban environment for future research.
Key facts. Cited by 117 papers in the map (data through 7 Oct 2026). Builds on 29 of its 49 references that are in the map. First posted on arXiv 9 Jul 2021.
Builds on
29 of 49 references.
References · 29
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- 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
- 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,384
- 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
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- 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 487
- 2018Gibson Env: Real-World Perception for Embodied Agentscited by 477
- 2017Joint 2D-3D-Semantic Data for Indoor Scene Understandingcited by 404
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- 2019Tracking without bells and whistlescited by 382
- 2016Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learningcited by 351
- 2019DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstructioncited by 332
- 2020Consistent Video Depth Estimationcited by 220
- 2020Learning to Recover 3D Scene Shape from a Single Imagecited by 214
- 2017Cognitive Mapping and Planning for Visual Navigationcited by 209
- 2018The Unmanned Aerial Vehicle Benchmark: Object Detection and Trackingcited by 207
- 2019BSP-Net: Generating Compact Meshes via Binary Space Partitioningcited by 205
- 2018ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Drivingcited by 59
- 2019A Behavioral Approach to Visual Navigation with Graph Localization Networkscited by 40
- 2020A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Datasetcited by 28
- 2020HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structurescited by 28
- 2019UAV-GESTURE: A Dataset for UAV Control and Gesture Recognitioncited by 19
- 2017Submodular Trajectory Optimization for Aerial 3D Scanningcited by 16
- 2020MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videoscited by 15
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Citing papers per year: 2022: 5; 2023: 11; 2024: 21; 2025: 48; 2026: 32.
117 papers.
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50 newest of 117 All 117 (JSON)
- 20253D and 4D World Modeling: A Surveycited by 64
- 20253D and 4D World Modeling: A Survey4 Sep 2025
- 2024Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussianscited by 225
- 2024A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasetscited by 214
- 2024VastGaussian: Vast 3D Gaussians for Large Scene Reconstructioncited by 209
- 2023MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyondcited by 185
- 2023CityDreamer: Compositional Generative Model of Unbounded 3D Citiescited by 75
- 2023Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Featurescited by 36
- 2023GrowSP: Unsupervised Semantic Segmentation of 3D Point Cloudscited by 34
- 2024Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenescited by 30
- 2023BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fieldscited by 27
- 2024Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstructioncited by 27
- 2025CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstructioncited by 26
- 2025UAVScenes: A Multi-Modal Dataset for UAVscited by 26
12 most cited of 114 All 114 (JSON)
- 2026EffGS: Efficient and High-Fidelity Gaussian Splatting30 Sep 2026
- 2026Multi-Scale Semantic Mapping in Urban Environments via Observation Calibration and Policy Dependence Regularization28 Sep 2026
- 2026Federated 3D Gaussian Splatting for Large-Scale Scene Reconstruction at Wireless Edge26 Sep 2026
- 2026Gauss What You Need: Compact Gaussian Splatting Across Scene Scales25 Sep 2026
- 2026OpenFlyScan: A Quality-Guided Aerial Reconstruction System for Consumer Drones21 Sep 2026
- 2026G3AR: Graph-Guided Neural Visual Geometry for Scalable Multi-Sequence Aerial Registration15 Sep 2026
- 2026Scaling 3D Generative Priors to Large-Scale Scene Meshes from Multi-View Images6 Sep 2026
- 2026STARS-GS: Structure-Aware Regularized Gaussian Splatting for Large-Scale Aerial Surface Reconstruction3 Sep 2026
- 2026On-the-Fly3R: Towards Robust Online 3D Reconstruction with Feed-Forward 3R Models for Large-Scale UAV Scenarios1 Sep 2026
- 2026SiZeUp: Fast 3D Proxy from Aerial Images via Depth Ordinal Loss24 Aug 2026
- 2026OutLangSplat: 3D Language Gaussian Splatting for UAV Outdoor Scenes5 Aug 2026
- 2026City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completion4 Jul 2026
12 newest of 114 All 114 (JSON)