- calibrated-backprojection-network VS EasyCV
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- calibrated-backprojection-network VS manydepth
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- calibrated-backprojection-network VS mmselfsup
- calibrated-backprojection-network VS eirli
- calibrated-backprojection-network VS simplerecon
- calibrated-backprojection-network VS STEPS
- calibrated-backprojection-network VS 3d-transforms
- calibrated-backprojection-network VS pykitti
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calibrated-backprojection-network reviews and mentions
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[R] ICCV2021 oral paper -- Unsupervised Depth Completion with Calibrated Backprojection Layers improves generalization across sensor platforms
Code for https://arxiv.org/abs/2108.10531 found: https://github.com/alexklwong/calibrated-backprojection-network
In a nutshell: we propose a method for point cloud densification (from camera, IMU, range sensor) that can generalize well across different sensor platforms. The figure in this link illustrates our improvement over existing works: https://github.com/alexklwong/calibrated-backprojection-network/blob/master/figures/overview_teaser.gif
Stats
alexklwong/calibrated-backprojection-network is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of calibrated-backprojection-network is Python.