2024
DI-MVS: Learning Efficient Multi-View Stereo With Depth-Aware Iterations
ICASSP 2024accepted
Learning-based Multi-View Stereo (MVS) methods aim to reconstruct 3D scenes from a set of 2D calibrated images. However, existing learning-based MVS methods often overlook depth maps that include the geometric shapes of the scene when constructing the cost volume. This can result in suboptimal recon…