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HannahHaensen committed Jan 8, 2024
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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">

<title>Hannah Schieber</title>

<meta name="author" content="Hannah Schieber">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta content="DynaMoN"
property="og:title">
<meta content="DynaMoN"
property="description">
<meta content="different intrinsic and extrinsic camera parameters" property="description">
<meta content="nerf camera parameters" property="description">

<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"
integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">


</head>

<body>
<div class="container">
<br>
<br>
<h1 style="align-content: center; text-align: center">NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly
Optimizing Diverse Intrinsic and Extrinsic Camera Parameters</h1>
<h5></h5>

<div class="row" style="align-content: center; text-align: center">
<div class="col-md-12">
<img src="https://github-production-user-asset-6210df.s3.amazonaws.com/22636930/272610460-e1e407ef-4249-4e5e-bc38-486e08204548.png"
style="width: 30%">
</div>
</div>
<br>
<div class="row" style="align-content: center; text-align: center">
<div class="col-md-12">
<b>Mert Asim Karaoglu (1,3), Hannah Schieber (2,4), Nicolas Schischka (1), Melih Gorgulu(1),
<br> Florian Grotzner (1), Alexander Ladikos (3), Daniel Roth (4), Nassir Navab (1,5) and Benjamin
Busam (1)</b>

</div>
</div>
<br>
<div class="row" style="align-content: center; text-align: center">
<div class="col-md-4 col-sm-12">
Technical University of Munich, Munich, Germany
<sup>1</sup>
</div>
<div class="col-md-4 col-sm-12">
Friedrich-Alexander Universitat Erlangen-Nürnberg, Erlangen, Germany
<sup>2</sup>
</div>
<div class="col-md-4 col-sm-12">
ImFusion GmbH, Munich, Germany
<sup>3</sup>
</div>
</div>
<div class="row" style="align-content: center; text-align: center">
<div class="col-md-3 col-sm-12">

</div>
<div class="col-md-3 col-sm-12">
Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Orthopaedics and
Sports Orthopaedics, Munich, Germany
<sup>4</sup>
</div>
<div class="col-md-3 col-sm-12">
Johns Hopkins University, Baltimore, MD, USA
<sup>4</sup>
</div>
<div class="col-md-3 col-sm-12">

</div>
</div>
<br>
<div class="row" style="align-content: center; text-align: center">

<div class="col-md-6">
<a href="https://arxiv.org/pdf/2309.08927.pdf">
<img src="https://github.com/HannahHaensen/DynaMoN/blob/main/figures/paper.png"
style="width: 150px; border: 1px black solid"></a>
<p>arixv</p>
</div>
<div class="col-md-6">
<a href="https://github.com/HannahHaensen/nerftrinsic_four">
<img src="https://github.com/HannahHaensen/DynaMoN/blob/main/figures/code.png"
style="width: 150px; border: 1px black solid"></a>
<p>Code (coming soon)</p>
</div>
</div>
<br>
<div class="row">
<h3>Abstract</h3>
<div class="col-md-12">
<p>
Dynamic reconstruction with neural radiance fields (NeRF) requires accurate camera poses. These are often hard to retrieve with existing structure-from-motion (SfM) pipelines as both camera and scene content can change. We
propose DynaMoN that leverages simultaneous localization and mapping (SLAM) jointly with motion masking to handle dynamic scene content. Our robust SLAM-based tracking module
significantly accelerates the training process of the dynamic NeRF while improving the quality of synthesized views at the same time. Extensive experimental validation on TUM RGB-D, BONN RGB-D Dynamic and the DyCheck’s iPhone dataset, three real-world datasets, shows the advantages of DynaMoN both for camera pose estimation and novel view synthesis.
</p>
</div>
</div>
<br>
<br>
<div class="row">
<h3>Architecture</h3>
<div class="col-md-12" style="align-content: center; text-align: center">
<img src="https://github.com/HannahHaensen/DynaMoN/assets/22636930/320af141-1639-4e43-8571-e37416cc392e"
style="width: 80%">
</div>
</div>
<br>
<br>
<div class="row">
<h3>Results</h3>
</div>
<div class="row">
<h5>Visual Improvements</h5>
<br>
<div class="col-md-12">
<p>DynaMoN enables better visual results in dynamic scenes.</p>
</div>
<div class="col-md-12" style="align-content: center; text-align: center">
<img src="https://github.com/HannahHaensen/DynaMoN/assets/22636930/31ebebd1-4c01-4645-85f7-0f7aecb37ff9"
style="width: 80%">
</div>
</div>
<br>
<br>

<h3>Citation</h3>
<div class="row">
<div class="col-md-12">
<p style="background: lightgray; margin: 10px; padding: 10px;">
@misc{@misc{2023DynaMoN,<br>
&nbsp&nbsptitle={DynaMoN: Motion-Aware Fast And Robust Camera Localization for Dynamic NeRF},<br>
&nbsp&nbspauthor={Karaoglu, Mert Asim and Schieber, Hannah and Schischka, Nicolas and
G{\"o}rg{\"u}l{\"u}, Melih and Gr{\"o}tzner, Florian and Ladikos, Alexander and Roth, Daniel and Navab,
Nassir and Busam, Benjamin},<br>
&nbsp&nbspjournal={arXiv preprint arXiv:2309.08927},<br>
&nbsp&nbspyear={2023}<br>
}
</p>
</div>
</div>
</div>
</div>


</body>
</html>
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