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Guandao Yang 2019-06-28 09:30:14 -07:00
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<title>PointFlow</title> <title>PointFlow</title>
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<a class="col-3" href="http://www.guandaoyang.com"><span>Guandao Yang*</span></a> <a class="col-3" href="http://www.guandaoyang.com"><span>Guandao Yang*</span></a>
<a class="col-3" href="http://www.cs.cornell.edu/~xhuang/"><span>Xun Huang*</span></a> <a class="col-3" href="http://www.cs.cornell.edu/~xhuang/"><span>Xun Huang*</span></a>
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<a class="col-6" href="http://home.bharathh.info/"><span>Bharath Hariharan</span></a> <a class="col-6" href="http://home.bharathh.info/"><span>Bharath Hariharan</span></a>
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<hr> <hr>
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<!-- <p class='h2'>Paper</p> -->
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<a href=""> <a href="assets/PointFlow.pdf">
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manner. manner.
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<p class="text-break"> <p class="text-break">
Each shape can be viewed as a distribution of 3D points. Each shape can be viewed as a distribution of 3D points.
In such distribution, points on the shape have higher probability and are more likely to be sampled. In such distribution, points on the shape have higher probability and are more likely to be sampled.
A point cloud can be viewed as a set of sampled points from such a distribution. A point cloud can be viewed as a set of points sampled from such distribution.
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