mlsanityData to 7 Oct 2026

Multi-sensor large-scale dataset for multi-view 3D reconstruction

arXiv 2203.06111 ↗First posted 11 Mar 2022cs.CV cs.LGcited by 14

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Abstract (arXiv)

We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and structured-light scanner. The scenes are selected to emphasize a diverse set of material properties challenging for existing algorithms. We provide around 1.4 million images of 107 different scenes acquired from 100 viewing directions under 14 lighting conditions. We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks. The dataset is available at skoltech3d.appliedai.tech.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 51 of its 106 references that are in the map. First posted on arXiv 11 Mar 2022.

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51 of 106 references.

References · 51

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38 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 5; 2025: 4; 2026: 2.

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  1. 2023Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objectscited by 15
  2. 2024Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imagingcited by 15
  3. 2024Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGBcited by 10
  4. 2025Multi-view Surface Reconstruction Using Normal and Reflectance Cuescited by 5
  5. 2025Multi-Spectral Gaussian Splatting with Neural Color Representationcited by 4
  6. 2024Den-SOFT: Dense Space-Oriented Light Field DataseT for 6-DOF Immersive Experiencecited by 2
  7. 2023PRS: Sharp Feature Priors for Resolution-Free Surface Remeshingcited by 1
  8. 2024On Representation of 3D Rotation in the Context of Deep Learningcited by 1
  9. 2025Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgerycited by 1
  10. 2025Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splattingcited by 1
  11. 2023NeuSD: Surface Completion with Multi-View Text-to-Image Diffusioncited by 0
  12. 2024Success Probability in Multi-View Imagingcited by 0
2 more
  1. 2026Multi-Sensor Matching with HyperNetworkscited by 0
  2. 2026EvalMVX: A Unified Benchmarking for Neural 3D Reconstruction under Diverse Multiview Setupscited by 0