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Gao_VisFusion_Visibility-Aware_Online_3D_Scene_Reconstruction_From_Videos_CVPR_2023_paper.pdf
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🔗 Source: openaccess.thecvf.com
📊 Size: 8.68 MB
👤 Author: Huiyu Gao; Wei Mao; Miaomiao Liu
⬇️ Downloads: 130

Summary

VisFusion is a visibility-aware online 3D scene reconstruction approach from posed monocular videos, aiming to reconstruct scenes from volumetric features. It improves feature fusion by explicitly inferring visibility from a similarity matrix computed from projected features in each image pair. The method uses a coarse-to-fine pipeline with a novel ray-based sparsification process, preserving at least one voxel per ray for more fine details, and predicts TSDF in a coarse-to-fine manner by learning residuals across scales. Experimental results show superior performance with more scene details.

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Description

VisFusion is a visibility-aware online 3D scene reconstruction approach from posed monocular videos, aiming to reconstruct scenes from volumetric features.

Technical Information

  • File Format: PDF
  • File Size: 8.68 MB
  • Pages: 10
  • Language: EN
  • Author: Huiyu Gao; Wei Mao; Miaomiao Liu
  • Total Downloads: 130
  • Last Updated: 6 days ago

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