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BlendedMVS

A Large-scale Dataset for Generalized Multi-view Stereo Networks

BlendedMVS

BlendedMVS is a large-scale MVS dataset for generalized multi-view stereo networks. The dataset contains 17k MVS training samples covering a variety of 113 scenes, including architectures, sculptures and small objects.BlendedMVG, a superset of BlendedMVS, is a multi-purpose large-scale dataset for solving multi-view geometry related problems. Except for the 113 scenes in BlendedMVS dataset, we follow its blending procedure to generate 389 more scenes (originally shown in GL3D) for BlendedMVG. The training image number is increased from 17k to over 110k.

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Task
3D Reconstruction / Photogrammetry
Annotation Types
3D Point Cloud
110000
Items
113
Classes
110000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC-BY
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