Search Results for author:
Found 2 papers, 0 papers with code
DPS-Net: Deep Polarimetric Stereo Depth Estimation
Stereo depth estimation usually struggles to deal with textureless scenes for both traditional and learning-based methods due to the inherent dependence on image correspondence matching.
NeuralMarker: A Framework for Learning General Marker Correspondence
We tackle the problem of estimating correspondences from a general marker, such as a movie poster, to an image that captures such a marker.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
