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integrity="sha384-ggOyR0iXCbMQv3Xipma34MD+dH/1fQ784/j6cY/iJTQUOhcWr7x9JvoRxT2MZw1T" crossorigin="anonymous">
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<title>PointFlow</title>
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</head>
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<body class="container" style="max-width:780px">
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<body class="container" style="width:780px">
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<!-- Title -->
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<div>
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</div>
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</div>
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<!-- authors -->
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<div class='row text-center h5 font-weight-bold pl-4 pr-4 mb-4'>
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<a class="col-3" href="http://www.guandaoyang.com"><span>Guandao Yang*</span></a>
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<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>
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</div>
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<!-- affiliations -->
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<div class='row mt-1 mt-2' >
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<div class='col text-center'>
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<p class="h5 font-weight-light">
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<hr>
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<div class='row'>
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<div class='col-3 text-center col-sm-3'>
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<!-- <p class='h2'>Paper</p> -->
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<div class="row mt-4">
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<a href="">
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<a href="assets/PointFlow.pdf">
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<img src="assets/paper.jpg" alt="paper-snapshot" class="img-thumbnail" width="80%" style="box-shadow: 10px 10px 5px grey;">
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</a>
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</div>
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manner.
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</p>
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</div>
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</div>
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</div>
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<p class="text-break">
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Each shape can be viewed as a distribution of 3D points.
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In such distribution, points on the shape have higher probability and are more likely to be sampled.
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A point cloud can be viewed as a set of sampled points from such a distribution.
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A point cloud can be viewed as a set of points sampled from such distribution.
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</p>
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</div>
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</div>
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