Accenture-NVS1: A Novel View Synthesis Dataset
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Abstract (arXiv)
This paper introduces ACC-NVS1, a specialized dataset designed for research on Novel View Synthesis specifically for airborne and ground imagery. Data for ACC-NVS1 was collected in Austin, TX and Pittsburgh, PA in 2023 and 2024. The collection encompasses six diverse real-world scenes captured from both airborne and ground cameras, resulting in a total of 148,000 images. ACC-NVS1 addresses challenges such as varying altitudes and transient objects. This dataset is intended to supplement existing datasets, providing additional resources for comprehensive research, rather than serving as a benchmark.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 9 of its 14 references that are in the map. First posted on arXiv 24 Mar 2025.
Builds on
9 of 14 references.
References · 9
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
- 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 2,032
- 2024Depth Anything V2cited by 1,422
- 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 724
- 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 652
- 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 537
- 2021Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughscited by 398
- 2021Capturing, Reconstructing, and Simulating: the UrbanScene3D Datasetcited by 118
- 2024MegaScenes: Scene-Level View Synthesis at Scalecited by 58
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.