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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description"
content="NTIRE 2023 Real-Time Super-Resolution Challenge">
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<title>NTIRE 2023 Real-Time Super-Resolution Challenge</title>
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<section class="hero">
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<div class="container is-max-desktop">
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<h1 class="title is-1 publication-title">Real-Time 4K Super-Resolution<br> NTIRE 2023 Challenge</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://scholar.google.com/citations?user=NtB1kjYAAAAJ&hl=en">Marcos V. Conde,</a></span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=5-FIWKoAAAAJ&hl=en">Eduard Zamfir,</a></span>
<span class="author-block">
<a href="https://scholar.google.com/citations?user=u3MwH5kAAAAJ&hl=en">Radu Timofte</a>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">Computer Vision Lab, University of Wurzburg</span>
<br>
<small>Presentation at CVPR NTIRE June 18th</small>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="https://openaccess.thecvf.com/content/CVPR2023W/NTIRE/papers/Conde_Efficient_Deep_Models_for_Real-Time_4K_Image_Super-Resolution._NTIRE_2023_CVPRW_2023_paper.pdf"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Challenge Report</span>
</a>
</span>
<span class="link-block">
<a href="https://openaccess.thecvf.com/content/CVPR2023W/NTIRE/papers/Zamfir_Towards_Real-Time_4K_Image_Super-Resolution_CVPRW_2023_paper.pdf"
class="external-link button is-normal is-rounded is-dark">
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<i class="fas fa-file-pdf"></i>
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<span> RT4KSR Paper</span>
</a>
</span>
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class="external-link button is-normal is-rounded is-dark">
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<span>Video</span>
</a>
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<a href="https://github.com/eduardzamfir/NTIRE23-Real-Time-SR"
class="external-link button is-normal is-rounded is-dark">
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<span>Code</span>
</a>
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<a href="https://github.com/eduardzamfir/RT4KSR"
class="external-link button is-normal is-rounded is-dark">
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<span>Code Paper</span>
</a>
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<!-- Dataset Link. -->
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<a href="https://github.com/eduardzamfir/NTIRE23-Real-Time-SR"
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<span>Data</span>
</a>
</div>
</div>
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</div>
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</div>
</section>
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background: #fff;
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<figure slot="first" class="before">
<img src="images/dragon-4k-up.jpg" width=100%>
<figcaption><strong>Before</strong></figcaption>
</figure>
<figure slot="second" class="after">
<img src="images/dragon-4k-small.jpg" width=100%>
<figcaption><strong>Super-Resolution</strong></figcaption>
</figure>
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</div>
<div class="columns is-centered">
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<!-- Abstract. -->
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<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
The <a rel="license" href="https://cvlai.net/ntire/2023/">8th edition of NTIRE: New Trends in Image Restoration and Enhancement</a>
workshop will be held on June 18th, 2023 in conjunction with CVPR 2023.
<br>
<br>
This work introduces a novel benchmark for efficient upscaling as part of the NTIRE 2023 Real-Time Image Super-Resolution (RTSR) Challenge, which aimed to upscale images from 720p and 1080p resolution to native 4K (x2 and x3 factors) in real-time on commercial GPUs. For this, we use a new test set containing diverse 4K images ranging from digital art to gaming and photography. We assessed the methods devised for 4K SR by measuring their runtime, parameters, and FLOPs, while ensuring a minimum PSNR fidelity over Bicubic interpolation. Out of the 170 participants, 25 teams contributed to this report, making it the most comprehensive benchmark to date and showcasing the latest advancements in real-time SR.
</p>
<p>
<b><a href="https://openaccess.thecvf.com/content/CVPR2023W/NTIRE/papers/Zamfir_Towards_Real-Time_4K_Image_Super-Resolution_CVPRW_2023_paper.pdf">Towards Real-Time 4K Image Super-Resolution</a></b> presents an exhaustive study of baseline methods for real-time SR. This paper serves as the official baseline for the challenge.
<br>
<br>
<b><a href="https://openaccess.thecvf.com/content/CVPR2023W/NTIRE/papers/Conde_Efficient_Deep_Models_for_Real-Time_4K_Image_Super-Resolution._NTIRE_2023_CVPRW_2023_paper.pdf">Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report</a></b> gauges the state-of-the-art methods for real-time 4K upscaling using our new dataset and benchmark protocol. Multiple methods allow 60 FPS and even 120 FPS.
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<a href="https://openaccess.thecvf.com/content/CVPR2023W/NTIRE/html/Zamfir_Towards_Real-Time_4K_Image_Super-Resolution_CVPRW_2023_paper.html" target="_blank" rel="noopener noreferrer">
<img src="images/paper.png" alt="paper" width="250px">
<br><p>Paper</p>
</a>
</div>
<div class="column has-text-centered">
<a href="https://openaccess.thecvf.com/content/CVPR2023W/NTIRE/html/Conde_Efficient_Deep_Models_for_Real-Time_4K_Image_Super-Resolution._NTIRE_2023_CVPRW_2023_paper.html" target="_blank" rel="noopener noreferrer">
<img src="images/report.png" alt="report" width="250px">
<br><p>Report</p>
</a>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="section" id="News">
<div class="container is-max-desktop content">
<h2 class="title">News and Contact</h2>
<p>
If you have questions, please contact us at {marcos.conde, eduard-sebastian.zamfir}@uni-wuerzburg.de
<br>
<br>
[06/18/2023] Dataset release by 18th June at NTIRE 2023 workshop
<br>
[06/18/2023] Challenge methods release by 18th June at <a href="https://github.com/eduardzamfir/NTIRE23-Real-Time-SR">https://github.com/eduardzamfir/NTIRE23-Real-Time-SR</a>
<br>
[01/30/2023] The challenges start in Codalab <a href="https://codalab.lisn.upsaclay.fr/competitions/10228">NTIRE 2023 Real-Time Super-Resolution - Track 1 (X2)</a>, over 200 participants
</p>
</div>
</section>
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>
@InProceedings{Zamfir_2023_CVPR,
author = {Zamfir, Eduard and Conde, Marcos V. and Timofte, Radu},
title = {Towards Real-Time 4K Image Super-Resolution},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2023},
pages = {1522-1532}
}
</code></pre>
<pre><code>
@InProceedings{Conde_2023_CVPR,
author = {Conde, Marcos V. and Zamfir, Eduard and Timofte, Radu and Motilla, Daniel and Liu, Cen and Zhang, Zexin and Peng, Yunbo and Lin, Yue and Guo, Jiaming and Zou, Xueyi and Chen, Yuyi and Liu, Yi and Hao, Jia and Yan, Youliang and Zhang, Yuanfan and Li, Gen and Sun, Lei and Kong, Lingshun and Bai, Haoran and Pan, Jinshan and Dong, Jiangxin and Tang, Jinhui and Ayazoglu, Mustafa and Bilecen, Bahri Batuhan and Li, Mingxi and Zhang, Yuhang and Fan, Xianjun and Sheng, Yankai and Sun, Long and Liu, Zibin and Gou, Weiran and Li, Shaoqing and Yi, Ziyao and Xiang, Yan and Kong, Dehui and Xu, Ke and Gankhuyag, Ganzorig and Yoon, Kihwan and Zhang, Jin and Yu, Gaocheng and Zhang, Feng and Wang, Hongbin and Zhou, Zhou and Chao, Jiahao and Gao, Hongfan and Gong, Jiali and Yang, Zhengfeng and Zeng, Zhenbing and Chen, Chengpeng and Guo, Zichao and Park, Anjin and Liu, Yuqing and Jia, Qi and Yu, Hongyuan and Yu, Hongyuan and Yin, Xuanwu and Yin, Xuanwu and Zuo, Kunlong and Zuo, Kunlong and Zhang, Dongyang and Fu, Ting and Cheng, Zhengxue and Zhu, Shiai and Zhou, Dajiang and Yu, Weichen and Ge, Lin and Dong, Jiahua and Zou, Yajun and Wu, Zhuoyuan and Han, Binnan and Zhang, Xiaolin and Zhang, Heng and Shao, Ben and Zheng, Shaolong and Yin, Daheng and Chen, Baijun and Liu, Mengyang and Nistor, Marian-Sergiu and Chen, Yi-Chung and Huang, Zhi-Kai and Chiang, Yuan-Chun and Chen, Wei-Ting and Yang, Hao-Hsiang and Chang, Hua-En and Chen, I-Hsiang and Hsieh, Chia-Hsuan and Kuo, Sy-Yen and Vo, Tu and Yan, Qingsen and Zhu, Yun and Su, Jinqiu and Zhang, Yanning and Zhang, Cheng and Luo, Jiaying and Cho, Youngsun and Lee, Nakyung},
title = {Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2023},
pages = {1495-1521}
}
</code></pre>
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<p>This website template is borrowed from <a rel="license" href="https://github.com/nerfies/nerfies.github.io">Nerfies</a>.
<br>
This challenge was organized by the Computer Vision Lab, University of Wurzburg.
<br>
It is part of the 8th edition of <a href="https://cvlai.net/ntire/2023/">NTIRE: New Trends in Image Restoration and Enhancement workshop</a> at CVPR 2023.
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