-
Notifications
You must be signed in to change notification settings - Fork 7
/
index.html
196 lines (175 loc) · 7.9 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description"
content="Towards Real-Time 4K Image Super-Resolution">
<meta name="keywords" content="NTIRE, Real-Time, Super-Resolution, 4K">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Towards Real-Time 4K Image Super-Resolution</title>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-PYVRSFMDRL"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag('js', new Date());
gtag('config', 'G-PYVRSFMDRL');
</script>
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="stylesheet" href="./website/static/css/bulma.min.css">
<link rel="stylesheet" href="./website/static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="./website/static/css/bulma-slider.min.css">
<link rel="stylesheet" href="./website/static/css/fontawesome.all.min.css">
<link rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="./website/static/css/index.css">
<link rel="icon" href="./website/static/images/favicon.svg">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script defer src="./website/static/js/fontawesome.all.min.js"></script>
<script src="./website/static/js/bulma-carousel.min.js"></script>
<script src="./website/static/js/bulma-slider.min.js"></script>
<script src="./website/static/js/index.js"></script>
</head>
<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-2 publication-title">Towards Real-Time 4K Image Super-Resolution</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://eduardzamfir.github.io">Eduard-Sebastian Zamfir,</a></span>
<span class="author-block">
<a href="https://mv-lab.github.io">Marcos V. Conde,</a></span>
<span class="author-block">
<a href="https://www.informatik.uni-wuerzburg.de/computervision/home/">Radu Timofte</a>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">Computer Vision Lab, University of Wurzburg</span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="https://arxiv.org/"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper (Coming Soon)</span>
</a>
</span>
<!--<span class="link-block">
<a href="https://arxiv.org"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
<!-- Video Link. -->
<!--<span class="link-block">
<a href="https://www.youtube.com"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-youtube"></i>
</span>
<span>Video</span>
</a>
</span>
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/eduardzamfir/RT4KSR"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<!-- Dataset Link. -->
<!--<span class="link-block">
<a href="https://github.com"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="far fa-images"></i>
</span>
<span>Data</span>
</a>-->
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img src="assets/rt4ksr_teaser.png">
<h2 class="content has-text-centered">
We introduce a new baseline termed RT4KSR for upscaling images from 720p and 1080p input to 4K in real-time at > 60FPS.
</h2>
</div>
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<!-- Abstract. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
Over the past few years, high-definition videos and im- ages in 720p (HD), 1080p (FHD), and 4K (UHD) resolution have become standard.
While higher resolutions offer improved visual quality for users, they pose a significant challenge for super-resolution networks to achieve real-time performance on commercial GPUs.
This paper presents a comprehensive analysis of super-resolution model designs and techniques aimed at efficiently upscaling images from 720p and 1080p resolutions to 4K.
We begin with a simple, effective baseline architecture and gradually modify its design by focusing on extracting important high-frequency details efficiently.
This allows us to subsequently downscale the resolution of deep feature maps, reducing the overall computational footprint, while maintaining high recon- struction fidelity.
We enhance our method by incorporating pixel-unshuffling, a simplified and speed-up reinterpretation of the basic block proposed by NAFNet, along with structural re-parameterization.
We assess the performance of the fastest version of our method in the new NTIRE 2023 Real-Time 4K Super-Resolution challenge and demonstrate its potential in comparison with state-of-the-art efficient super-resolution models when scaled up.
Our method was tested successfully on high-quality content from photography, digital art, and gaming content.
<!--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. -->
</p>
<p>
</p>
<p>
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{conde2023NTIRERTSR,
author = {Zamfir, Eduard-Sebastian and Conde, Marcos V. and Timofte, Radu},
title = {Towards Real-Time 4K Image Super-Resolution},
journal = {CVPRW},
year = {2023},
}</code></pre>
</div>
</section>
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This website is borrowed <a rel="license" href="https://github.com/nerfies/nerfies.github.io">from</a>.
</p>
</div>
</div>
</div>
</div>
</footer>
</body>
</html>