mlsanityData to 14 Oct 2026

NeuralMeshing: Complete Object Mesh Extraction from Casual Captures

arXiv 2508.16026 ↗First posted 22 Aug 2025cs.CV cs.ROcited by 0

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Abstract (arXiv)

How can we extract complete geometric models of objects that we encounter in our daily life, without having access to commercial 3D scanners? In this paper we present an automated system for generating geometric models of objects from two or more videos. Our system requires the specification of one known point in at least one frame of each video, which can be automatically determined using a fiducial marker such as a checkerboard or Augmented Reality (AR) marker. The remaining frames are automatically positioned in world space by using Structure-from-Motion techniques. By using multiple videos and merging results, a complete object mesh can be generated, without having to rely on hole filling. Code for our system is available from https://github.com/FlorisE/NeuralMeshing.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 30 references that are in the map. First posted on arXiv 22 Aug 2025.

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20 of 30 references.

References · 20

  1. 2023Segment Anythingcited by 8,234
  2. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,723
  3. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  4. 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,567
  5. 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
  6. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  7. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 770
  8. 2018Open3D: A Modern Library for 3D Data Processingcited by 721
  9. 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 616
  10. 2022NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstructioncited by 314
  11. 2024Global Structure-from-Motion Revisitedcited by 218
  12. 2023NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Imagescited by 163
8 more
  1. 2025MUSt3R: Multi-view Network for Stereo 3D Reconstructioncited by 141
  2. 2023Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinementcited by 106
  3. 2025DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Modelscited by 57
  4. 2023ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformerscited by 56
  5. 2023HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructionscited by 48
  6. 2023ZeroRF: Fast Sparse View 360deg Reconstruction with Zero Pretrainingcited by 24
  7. 2023NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fieldscited by 2
  8. 2025Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Mergingcited by 2

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