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<!DOCTYPE HTML> | ||
<html lang="en"> | ||
<head> | ||
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | ||
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<title>Hannah Schieber</title> | ||
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<meta name="author" content="Hannah Schieber"> | ||
<meta name="viewport" content="width=device-width, initial-scale=1"> | ||
<link rel="shortcut icon" href="images/favicon/favicon.ico" type="image/x-icon"> | ||
<link rel="stylesheet" type="text/css" href="stylesheet.css"> | ||
<meta content="NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters" | ||
property="og:title"> | ||
<meta content="NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters" | ||
property="description"> | ||
<meta content="different intrinsic and extrinsic camera parameters" property="description"> | ||
<meta content="nerf camera parameters" property="description"> | ||
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" | ||
integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous"> | ||
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</head> | ||
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<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> | ||
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<div class="row" style="align-content: center; text-align: center"> | ||
<img src="https://github.com/HannahHaensen/nerftrinsic_four/blob/main/figures/teaser.png" | ||
style="width: 100%"> | ||
</div> | ||
<br> | ||
<div class="row" style="align-content: center; text-align: center"> | ||
<div class="col-md-12"> | ||
<b><a href="">Hannah Schieber | ||
<sup>1,4</sup></a>, Fabian Deuser | ||
<sup>2</sup>, Bernhard Egger | ||
<sup>3</sup>, Norbert Oswald | ||
<sup>2</sup>, and Daniel Roth<spu>4</spu></b> | ||
</div> | ||
</div> | ||
<br> | ||
<div class="row" style="align-content: center; text-align: center"> | ||
<div class="col-md-3 col-sm-6"> | ||
Human-Centered Computing and Extended Reality, Friedrich-Alexander University (FAU) Erlangen-Nurnberg, | ||
Erlangen, Germany | ||
<sup>1</sup> | ||
</div> | ||
<div class="col-md-3 col-sm-6"> | ||
Institute for Distributed Intelligent Systems University of the Bundeswehr Munich Munich, Germany | ||
<sup>2</sup> | ||
</div> | ||
<div class="col-md-3 col-sm-6"> | ||
Lehrstuhl fur Graphische Datenverarbeitung (LGDV) Friedrich-Alexander Universität (FAU) | ||
Erlangen-Nürnberg Erlangen, Germany | ||
<sup>3</sup> | ||
</div> | ||
<div class="col-md-3 col-sm-6"> | ||
Lehrstuhl fur Graphische Datenverarbeitung (LGDV) Friedrich-Alexander Universität (FAU) | ||
Erlangen-Nürnberg Erlangen, Germany | ||
<sup>4</sup> | ||
</div> | ||
</div> | ||
<br> | ||
<div class="row" style="align-content: center; text-align: center"> | ||
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<div class="col-md-4"> | ||
<a href="https://arxiv.org/pdf/2303.09412.pdf"> | ||
<img src="https://github.com/HannahHaensen/nerftrinsic_four/blob/main/figures/paper.png" | ||
style="width: 150px; border: 1px black solid"></a> | ||
<p>arixv</p> | ||
</div> | ||
<div class="col-md-4"> | ||
<a href="https://github.com/HannahHaensen/nerftrinsic_four"> | ||
<img src="https://github.com/HannahHaensen/nerftrinsic_four/blob/main/figures/code.png" | ||
style="width: 150px; border: 1px black solid"></a> | ||
<p>Code</p> | ||
</div> | ||
<div class="col-md-4"> | ||
<a href="https://drive.google.com/file/d/1deYczPDEcsInCD4MkSKeH_ZMbq_TGGi4/view"> | ||
<img src="https://github.com/HannahHaensen/nerftrinsic_four/blob/main/figures/0000.png" | ||
style="width: 150px; border: 1px black solid"></a> | ||
<p>Dataset</p> | ||
</div> | ||
</div> | ||
<br> | ||
<div class="row"> | ||
<h3>Abstract</h3> | ||
<div class="col-md-12"> | ||
Novel view synthesis using neural radiance fields (NeRF) is the state-of-the-art technique for generating | ||
high-quality images from novel viewpoints. Existing methods require a priori knowledge about extrinsic and | ||
intrinsic camera parameters. This limits their applicability to synthetic scenes, or real-world scenarios | ||
with the necessity of a preprocessing step. Current research on the joint optimization of camera parameters | ||
and NeRF focuses on refining noisy extrinsic camera parameters and often relies on the preprocessing of | ||
intrinsic camera parameters. Further approaches are limited to cover only one single camera intrinsic. To | ||
address these limitations, we propose a novel end-to-end trainable approach called NeRFtrinsic Four. We | ||
utilize Gaussian Fourier features to estimate extrinsic camera parameters and dynamically predict varying | ||
intrinsic camera parameters through the supervision of the projection error. Our approach outperforms | ||
existing joint optimization methods on LLFF and BLEFF. In addition to these existing datasets, we introduce | ||
a new dataset called iFF with varying intrinsic camera parameters. NeRFtrinsic Four is a step forward in | ||
joint optimization NeRF-based view synthesis and enables more realistic and flexible rendering in real-world | ||
scenarios with varying camera parameters. | ||
</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://user-images.githubusercontent.com/22636930/231704527-8c070d6b-0ac8-4432-9bd2-17725a04d191.png" | ||
style="width: 80%"> | ||
</div> | ||
</div> | ||
<br> | ||
<br> | ||
<div class="row"> | ||
<h3>Results</h3> | ||
</div> | ||
<div class="row"> | ||
<h5>LLFF</h5> | ||
<div class="col-md-12" style="align-content: center; text-align: center"> | ||
<img src="https://user-images.githubusercontent.com/22636930/231704938-ae113dbc-d15f-4540-91fc-3deb95ebf8c8.png"> | ||
</div> | ||
</div> | ||
<div class="row"> | ||
<h5>BLEFF</h5> | ||
<div class="col-md-12" style="align-content: center; text-align: center"> | ||
<img src="https://user-images.githubusercontent.com/22636930/231705973-028f4b1e-27c3-4d3e-ba24-038afd04ce6c.png"> | ||
</div> | ||
</div> | ||
<div class="row"> | ||
<h5>BLEFF</h5> | ||
<div class="col-md-12" style="align-content: center; text-align: center"> | ||
<img src="https://user-images.githubusercontent.com/22636930/231706040-cb0ef15e-f923-419c-a71c-4d910c5220b4.png"> | ||
</div> | ||
</div> | ||
<br> | ||
<br> | ||
<div class="row"> | ||
<h3>iFF Dataset</h3> | ||
<div class="col-md-12" style="align-content: center; text-align: center"> | ||
<img src="https://user-images.githubusercontent.com/22636930/231706690-bfa8a920-4800-48aa-9104-6dc0c33d4c4b.png" | ||
style="width: 80%"> | ||
</div> | ||
</div> | ||
<h3>Citation</h3> | ||
<div class="row"> | ||
<div class="col-md-12"> | ||
<p style="background: lightgray; margin: 10px; padding: 10px;"> | ||
@misc{schieber2023nerftrinsic,<br> | ||
  title={NeRFtrinsic Four: An End-To-End Trainable NeRF Jointly Optimizing Diverse Intrinsic and Extrinsic Camera Parameters},<br> | ||
  author={Hannah Schieber and Fabian Deuser and Bernhard Egger and Norbert Oswald and Daniel Roth},<br> | ||
  year={2023},<br> | ||
  eprint={2303.09412},<br> | ||
  archivePrefix={arXiv},<br> | ||
 primaryClass={cs.CV}<br> | ||
} | ||
</p> | ||
</div> | ||
</div> | ||
</div> | ||
</div> | ||
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</body> | ||
</html> |
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