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<html><head lang="en"><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<meta http-equiv="x-ua-compatible" content="ie=edge">
<title>MAIR</title>
<meta name="description" content="">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="icon" type="image/png" href="./index_files/icon.ico">
<link rel="stylesheet" href="./index_files/bootstrap.min.css">
<link rel="stylesheet" href="./index_files/font-awesome.min.css">
<link rel="stylesheet" href="./index_files/codemirror.min.css">
<link rel="stylesheet" href="./index_files/app.css">
<link rel="stylesheet" href="./index_files/bootstrap.min(1).css">
<script type="text/javascript" async="" src="./index_files/analytics.js"></script>
<script type="text/javascript" async="" src="./index_files/analytics(1).js"></script>
<script async="" src="./index_files/js"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-110862391-3');
</script>
<script src="./index_files/jquery.min.js"></script>
<script src="./index_files/bootstrap.min.js"></script>
<script src="./index_files/codemirror.min.js"></script>
<script src="./index_files/clipboard.min.js"></script>
<script src="./index_files/app.js"></script>
</head>
<body data-gr-c-s-loaded="true">
<div class="container" id="main">
<div class="row">
<h1 class="col-md-12 text-center">
<b>MAIR:</b> Multi-view Attention Inverse Rendering <br> with 3D Spatially-Varying Lighting Estimation
<br /><br />
<small>
CVPR 2023
</small>
<br /><br />
</h1>
</div>
<div class="row">
<div class="col-md-12 text-center">
<ul class="list-inline">
<li>
<a href="https://bring728.github.io/junyong-website/">
JunYong Choi
</a><sup>1,2</sup>
</li>
<li>
<a href="https://www.linkedin.com/in/seokyeong-lee-852a96191/?originalSubdomain=kr">
SeokYeong Lee
</a><sup>1,2</sup>
</li>
<li>
<a href="https://www.linkedin.com/in/haesol-park-06a7b216b/?originalSubdomain=kr">
Haesol Park
</a><sup>1</sup>
</li>
<li>
<a href="https://sites.google.com/view/deepiplab/">
Seung-Won Jung
</a><sup>2</sup>
</li>
<li>
<a href="https://sites.google.com/view/ijkim/%ED%99%88">
Ig-Jae Kim
</a><sup>1,3,4</sup>
</li>
<li>
<a href="http://jhcho.info">
Junghyun Cho
</a><sup>1,3,4</sup>
</li>
</ul>
</div>
</div>
<div class="row">
<div class="col-md-12 text-center">
<ul class="list-inline">
<li>
<sup>1</sup>Korea Institute of Science and Technology(KIST)
</li>
<li>
<sup>2</sup>Korea University
</li>
<br>
<li>
<sup>3</sup>AI-Robotics, KIST School, University of Science and Technology
</li>
<br>
<li>
<sup>4</sup>Yonsei-KIST Convergence Research Institute, Yonsei University
</li>
</ul>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2 text-center">
<ul class="nav nav-pills nav-justified">
<li>
<a href="https://arxiv.org/abs/2303.12368">
<img src="./index_files/mair_paper_icon.png" height="120px"><br>
<h4><strong>Paper</strong></h4>
</a>
</li>
<li>
<a href="https://www.youtube.com/watch?v=58ql5xJfN3M">
<img src="./index_files/youtube_icon_dark.png" height="120px"><br>
<h4><strong>Technical Video</strong></h4>
</a>
</li>
<li>
<a href="https://github.com/bring728/OpenRooms_FF">
<img src="./index_files/dataNew.png" height="120px"><br>
<h4><strong>Dataset</strong></h4>
</a>
</li>
<li>
<a href="https://github.com/bring728/MAIR_Open">
<img src="./index_files/github-logo.png" height="120px"><br>
<h4><strong>Code</strong></h4>
</a>
</li>
</ul>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<h3>
Overview
</h3>
<img src="./index_files/teaser.png" class="img-responsive" alt="overview"><br>
<p class="text-justify">
We propose a scene-level inverse rendering framework that uses multi-view images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying lighting. Because multi-view images provide a variety of information about the scene, multi-view images in object-level inverse rendering have been taken for granted. However, owing to the absence of multi-view HDR synthetic dataset, scene-level inverse rendering has mainly been studied using single-view image. We were able to successfully perform scene-level inverse rendering using multi-view images by expanding OpenRooms dataset and designing efficient pipelines to handle multi-view images, and splitting spatially-varying lighting. Our experiments show that the proposed method not only achieves better performance than single-view-based methods, but also achieves robust performance on unseen real-world scene. Also, our sophisticated 3D spatially-varying lighting volume allows for photorealistic object insertion in any 3D location.
</p>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<h3>
Pipeline
</h3>
<img src="./index_files/mair_framework.png" class="img-responsive" alt="overview"><br>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<h3>
<a href="https://github.com/bring728/OpenRooms_FF">OpenRooms FF</a>, Multi-view extension of <a href="https://vilab-ucsd.github.io/ucsd-openrooms/">OpenRooms</a>
</h3>
<img src="./index_files/dataset_teaser.png" class="img-responsive" alt="overview"><br>
</div>
</div>
<div class="row">
<div class="col-md-12">
<h3>
Comparisons
</h3>
<img src="./index_files/ir_result.png" class="img-responsive" alt="overview"><br>
<img src="./index_files/oi_1_img.png" class="img-responsive" alt="overview"><br>
<img src="./index_files/oi_2_img.png" class="img-responsive" alt="overview"><br>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<h3>
Object Insertion
</h3>
<div class="text-center">
<video id="v0" width="100%" autoplay="" loop="" muted="" controls="">
<source src="index_files/oi1_html.mp4" type="video/mp4">
</video>
<video id="v0" width="100%" autoplay="" loop="" muted="" controls="">
<source src="index_files/oi2_html.mp4" type="video/mp4">
</video>
<video id="v0" width="100%" autoplay="" loop="" muted="" controls="">
<source src="index_files/oi3_html.mp4" type="video/mp4">
</video>
</div>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<h3>
View Synthesis + Chrome Sphere Insertion
</h3>
<div class="text-center">
<video id="v0" width="100%" autoplay="" loop="" muted="" controls="">
<source src="index_files/viewsyn1_html.mp4" type="video/mp4">
</video>
<video id="v0" width="100%" autoplay="" loop="" muted="" controls="">
<source src="index_files/viewsyn2_html.mp4" type="video/mp4">
</video>
</div>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2">
<h3>
Acknowledgments
</h3>
This work was partly supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT)(No.2020-0-00457, 50%) and KIST Institutional Program(Project No.2E32301, 50%). <br>
We have a special thanks to <a href="https://sites.google.com/a/eng.ucsd.edu/zhengqinli">Zhengqin Li</a> for helping us create OpenRooms FF dataset. <br>
Images used for object insertion were imported from <a href="https://github.com/googleinterns/IBRNet">IBRNet</a>. The view synthesis results were created using <a href="https://github.com/sunset1995/DirectVoxGO">DirectVoxGo</a>. The website template was borrowed from <a href="http://mgharbi.com/">Michaël Gharbi</a> and <a href="https://vilab-ucsd.github.io/ucsd-openrooms/">OpenRooms (Zhengqin Li)</a>.
<p></p>
</div>
</div>
</div>
</body></html>