Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

CVPR 2020 Jiayu YangWei MaoJose M. AlvarezMiaomiao Liu

We propose a cost volume-based neural network for depth inference from multi-view images. We demonstrate that building a cost volume pyramid in a coarse-to-fine manner instead of constructing a cost volume at a fixed resolution leads to a compact, lightweight network and allows us inferring high resolution depth maps to achieve better reconstruction results... (read more)

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