Cross Parallax Attention Network for Stereo Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3050092
Abstract: Stereo super-resolution (SR) aims to enhance the spatial resolution of one camera view using additional information from the other. Previous deep-learning-based stereo SR methods indeed improved the SR performance effectively by employing additional information, but… read more here.
Keywords: resolution; super resolution; attention; cross parallax ... See more keywords
Parallax Attention for Unsupervised Stereo Correspondence Learning
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DOI: 10.1109/tpami.2020.3026899
Abstract: Stereo image pairs encode 3D scene cues into stereo correspondences between the left and right images. To exploit 3D cues within stereo images, recent CNN based methods commonly use cost volume techniques to capture stereo… read more here.
Keywords: parallax attention; stereo; stereo image; stereo correspondence ... See more keywords
Parallax attention stereo matching network based on the improved group-wise correlation stereo network
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0263735
Abstract: Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep neural network framework, still… read more here.
Keywords: network; disparity; parallax attention; stereo matching ... See more keywords