BlendedMVS
Introduced by Yao et al. in BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
BlendedMVS is a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS. The dataset was created by applying a 3D reconstruction pipeline to recover high-quality textured meshes from images of well-selected scenes. Then, these mesh models were rendered to color images and depth maps.
Source: BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo NetworksPapers
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