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@ -994,8 +994,8 @@ with Per-Pixel Ground Truth using Stochastic Grammars (2018)</b> [[Paper]](https
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<b>:space_invader: End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans (arXiv 2019)</b> [[Paper]](https://arxiv.org/abs/1906.04201)
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<p align="center"><img width="50%" src="http://www.niessnerlab.org/papers/2019/z2end2end/teaser.jpg" /></p>
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<b>:space_invader: feature-metric registration: a fast semi-supervised approach for robust point cloud registration without correspondences (CVPR 202020)</b> [[Paper]](https://arxiv.org/abs/2005.01014)[[Code]](https://github.com/XiaoshuiHuang/fmr)
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<p align="center"><img width="50%" src="http://www.niessnerlab.org/papers/2019/z2end2end/teaser.jpg" /></p>
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<b>:space_invader: Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences (CVPR 202020)</b> [[Paper]](https://arxiv.org/abs/2005.01014)[[Code]](https://github.com/XiaoshuiHuang/fmr)
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<p align="center"><img width="50%" src="https://github.com/XiaoshuiHuang/fmr/blob/master/data/feature-metric.png?raw=true" /></p>
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<a name="scene_understanding" />
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