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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>PL3DR</title>
<link rel="stylesheet" type="text/css" href="assets/scripts/bulma.min.css">
<link rel="stylesheet" type="text/css" href="assets/scripts/theme.css">
<link rel="stylesheet" type="text/css" href="https://cdn.bootcdn.net/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
</head>
<body>
<section class="hero is-light" style="">
<div class="hero-body" style="padding-top: 50px;">
<div class="container" style="text-align: center;margin-bottom:5px;">
<h1 class="title">
RECONSTRUCTING PART-LEVEL 3D MODELS FROM A SINGLE IMAGE
</h1>
<div class="author">Dingfeng Shi<sup>1</sup></div>
<div class="author">Yifan Zhao<sup>1</sup></div>
<div class="author">Jia Li<sup>1,2</sup>*</div>
<div class="group">
<a href="http://cvteam.net/">CVTEAM</a>
</div>
<div class="aff">
<p><sup>1</sup>State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University</p>
<p><sup>2</sup>Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University</p>
</div>
<div class="con">
<p style="font-size: 24px; margin-top:5px; margin-bottom: 15px;">
ICME 2020
</p>
</div>
<div class="columns">
<div class="column"></div>
<div class="column"></div>
<div class="column">
<a href="http://cvteam.net/projects/2020/ICME/ICME2020_files/ICME2020-paper.pdf" target="_blank">
<p class="link">Paper</p>
</a>
</div>
<div class="column">
<p class="link">Code</p>
</div>
<div class="column"></div>
<div class="column"></div>
</div>
</div>
</div>
</section>
<div style="text-align: center;">
<div class="container" style="max-width:850px">
<div style="text-align: center;">
<img src="assets/PL3DR/framework.jpg" class="centerImage">
</div>
</div>
<div class="head_cap">
<p style="color:gray;">
The overview of framework
</p>
</div>
</div>
<section class="hero">
<div class="hero-body">
<div class="container" style="max-width: 800px" >
<h1 style="">Abstract</h1>
<p style="text-align: justify; font-size: 17px;">
Understanding an image with 3D representations has been an
increasingly attractive topic in computer vision. The state-ofthe-art 3D reconstruction methods usually focus on the reconstruction of the holistic object, while missing important part
information, which is crucial in robotic interaction and virtual reality applications. To solve this issue, we make the first
attempt to reconstruct the 3D models with part-level representations in a unified framework. With the input of the singleview images, we first develop a feature enhancement encoder
to incorporate discriminative local features into the feature
representation. The local features are selected adaptively by
a learnable local awareness module. Then the enhanced local
features are fused with the global branch to form the 3D representations. We then develop a 3D part generator to decode
the image priors to 3D parts with a 3D focal loss, which enables the representations of small parts. Experimental results
indicate that our model generates reliable part-level structures
while achieving state-of-the-art performance in object-level
recovering.
</p>
</div>
</div>
</section>
<section class="hero is-light" style="background-color:#FFFFFF;">
<div class="hero-body">
<div class="container" style="max-width:800px;margin-bottom:20px;">
<h1>
The Local Awareness Module
</h1>
</div>
<div class="container" style="max-width:800px">
<div style="text-align: center;">
<img src="assets/PL3DR/lam.jpg" class="centerImage">
</div>
</div>
</div>
</section>
<section class="hero is-light" style="background-color:#FFFFFF;">
<div class="hero-body">
<div class="container" style="max-width:800px;margin-bottom:20px;">
<h1>
Visualization
</h1>
</div>
<div class="container" style="max-width:800px">
<div style="text-align: center;">
<img src="assets/PL3DR/output.jpg" class="centerImage">
</div>
</div>
</div>
</section>
<section class="hero is-light" style="background-color:#FFFFFF;">
<div class="hero-body">
<div class="container" style="max-width:800px;margin-bottom:20px;">
<h1>
Benchmark
</h1>
</div>
<div class="container" style="max-width:800px">
<div style="text-align: center;">
<img src="assets/PL3DR/result.png" class="centerImage">
</div>
</div>
</div>
</section>
<section class="hero" style="padding-top:0px;">
<div class="hero-body">
<div class="container" style="max-width:800px;">
<div class="card">
<header class="card-header">
<p class="card-header-title">
BibTex Citation
</p>
<a class="card-header-icon button-clipboard" style="border:0px; background: inherit;" data-clipboard-target="#bibtex-info" >
<i class="fa fa-copy" height="20px"></i>
</a>
</header>
<div class="card-content">
<pre style="background-color:inherit;padding: 0px;" id="bibtex-info">@inproceedings{shi2020reconstructing,
title={Reconstructing Part-Level 3D Models From a Single Image},
author={Shi, Dingfeng and Zhao, Yifan and Li, Jia},
booktitle={2020 IEEE International Conference on Multimedia and Expo (ICME)},
pages={1--6},
year={2020},
organization={IEEE}
}</pre>
</div>
</section>
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<script>
new ClipboardJS('.button-clipboard');
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</body>
</html>