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add ph-pages
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@Kaminyou
Kaminyou committed Jul 9, 2024
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9 changes: 9 additions & 0 deletions images/bibtext.txt
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@article{ho2024pixelmomentsultrahighresolutionunpaired,
title={Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization},
author={Ming-Yang Ho and Che-Ming Wu and Min-Sheng Wu and Yufeng Jane Tseng},
year={2024},
eprint={2407.04245},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.04245},
}
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303 changes: 303 additions & 0 deletions index.html
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<script src="http://www.google.com/jsapi" type="text/javascript"></script>
<script type="text/javascript">google.load("jquery", "1.3.2");</script>

<style type="text/css">
body {
font-family: "HelveticaNeue-Light", "Helvetica Neue Light", "Helvetica Neue", Helvetica, Arial, "Lucida Grande", sans-serif;
font-weight:300;
font-size:18px;
margin-left: auto;
margin-right: auto;
width: 1100px;
}

h1 {
font-size:32px;
font-weight:300;
}

.disclaimerbox {
background-color: #eee;
border: 1px solid #eeeeee;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
padding: 20px;
}

video.header-vid {
height: 140px;
border: 1px solid black;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
}

img.header-img {
height: 140px;
border: 1px solid black;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
}

img.rounded {
border: 1px solid #eeeeee;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
}

a:link,a:visited
{
color: #1367a7;
text-decoration: none;
}
a:hover {
color: #208799;
}

td.dl-link {
height: 160px;
text-align: center;
font-size: 22px;
}

.layered-paper-big { /* modified from: http://css-tricks.com/snippets/css/layered-paper/ */
box-shadow:
0px 0px 1px 1px rgba(0,0,0,0.35), /* The top layer shadow */
5px 5px 0 0px #fff, /* The second layer */
5px 5px 1px 1px rgba(0,0,0,0.35), /* The second layer shadow */
10px 10px 0 0px #fff, /* The third layer */
10px 10px 1px 1px rgba(0,0,0,0.35), /* The third layer shadow */
15px 15px 0 0px #fff, /* The fourth layer */
15px 15px 1px 1px rgba(0,0,0,0.35), /* The fourth layer shadow */
20px 20px 0 0px #fff, /* The fifth layer */
20px 20px 1px 1px rgba(0,0,0,0.35), /* The fifth layer shadow */
25px 25px 0 0px #fff, /* The fifth layer */
25px 25px 1px 1px rgba(0,0,0,0.35); /* The fifth layer shadow */
margin-left: 10px;
margin-right: 45px;
}

.paper-big { /* modified from: http://css-tricks.com/snippets/css/layered-paper/ */
box-shadow:
0px 0px 1px 1px rgba(0,0,0,0.35); /* The top layer shadow */

margin-left: 10px;
margin-right: 45px;
}


.layered-paper { /* modified from: http://css-tricks.com/snippets/css/layered-paper/ */
box-shadow:
0px 0px 1px 1px rgba(0,0,0,0.35), /* The top layer shadow */
5px 5px 0 0px #fff, /* The second layer */
5px 5px 1px 1px rgba(0,0,0,0.35), /* The second layer shadow */
10px 10px 0 0px #fff, /* The third layer */
10px 10px 1px 1px rgba(0,0,0,0.35); /* The third layer shadow */
margin-top: 5px;
margin-left: 10px;
margin-right: 30px;
margin-bottom: 5px;
}

.vert-cent {
position: relative;
top: 50%;
transform: translateY(-50%);
}

hr
{
border: 0;
height: 1px;
background-image: linear-gradient(to right, rgba(0, 0, 0, 0), rgba(0, 0, 0, 0.75), rgba(0, 0, 0, 0));
}
</style>

<html>
<head>
<title>Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization</title>
<meta property="og:image" content="./images/teaser.jpg"/>
<meta property="og:title" content="Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization." />
<meta property="og:description" content="The first successful study for the ultra-high-resolution unpaired image-to-image translation with constant space complexity." />

<!-- Get from Google Analytics -->
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src=""></script>
<!-- <script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-75863369-6');
</script> -->
</head>

<body>
<br>
<center>
<span style="font-size:36px">Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization</span>
<table align=center width=600px>
<table align=center width=600px>
<tr>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://kaminyou.com/">Ming-Yang Ho</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://github.com/st9007a">Che-Ming Wu</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://github.com/Min-Sheng">Min-Sheng Wu</a></span>
</center>
</td>
<td align=center width=100px>
<center>
<span style="font-size:24px"><a href="https://www.csie.ntu.edu.tw/zh_tw/member/Faculty/%E6%9B%BE%E5%AE%87%E9%B3%B3-YF-Tseng-95281407">Yufeng Jane Tseng</a></span>
</center>
</td>
</tr>
</table>
<table align=center width=250px>
<tr>
<td align=center width=120px>
<center>
<span style="font-size:24px"><a href='https://arxiv.org/abs/2407.04245'>[Paper]</a></span>
</center>
</td>
<td align=center width=120px>
<center>
<span style="font-size:24px"><a href='https://github.com/Kaminyou/Dense-Normalization'>[GitHub]</a></span><br>
</center>
</td>
</tr>
</table>
</table>
</center>

<center>
<table align=center width=850px>
<tr>
<td width=260px>
<center>
<img class="round" style="width:800px" src="./images/teaser.jpg"/>
</center>
</td>
</tr>
</table>
</center>

<hr>

<table align=center width=850px>
<center><h1>Abstract</h1></center>
<tr>
<td>
Recent advancements in ultra-high-resolution unpaired image-to-image translation have aimed to mitigate the constraints imposed by limited GPU memory through patch-wise inference. Nonetheless, existing methods often compromise between the reduction of noticeable tiling artifacts and the preservation of color and hue contrast, attributed to the reliance on global image- or patch-level statistics in the instance normalization layers. In this study, we introduce a Dense Normalization (DN) layer designed to estimate pixel-level statistical moments. This approach effectively diminishes tiling artifacts while concurrently preserving local color and hue contrasts. To address the computational demands of pixel-level estimation, we further propose an efficient interpolation algorithm. Moreover, we invent a parallelism strategy that enables the DN layer to operate in a single pass. Through extensive experiments, we demonstrate that our method surpasses all existing approaches in performance. Notably, our DN layer is hyperparameter-free and can be seamlessly integrated into most unpaired image-to-image translation frameworks without necessitating retraining. Overall, our work paves the way for future exploration in handling images of arbitrary resolutions within the realm of unpaired image-to-image translation.
</td>
</tr>
</table>
<br>

<hr>
<!-- <center><h1>Talk</h1></center>
<p align="center">
<iframe width="660" height="395" src="https://www.youtube.com/embed/dQw4w9WgXcQ" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen align="center"></iframe>
</p>
<table align=center width=800px>
<br>
<tr>
<center>
<span style="font-size:28px"><a href=''>[Slides]</a>
</span>
</center>
</tr>
</table>
<hr> -->

<center><h1>Code</h1></center>

<table align=center width=420px>
<center>
<tr>
<td>
</td>
</tr>
</center>
</table>

<table align=center width=800px>
<tr>
<td align=center width=800px>
<center>
<img class="round" style="width:800px" src="./images/framework.jpg"/>
</center>
</td>
</tr>
</table>
<table align=center width=850px>
<center>
<tr>
<td>
The implementation of DN is fully provided in our official GitHub repository. To reproduce the experiments, please follow the steps described in the README.md file.
</td>
</tr>
</center>
</table>
<table align=center width=800px>
<br>
<tr><center>
<span style="font-size:28px">&nbsp;<a href='https://github.com/Kaminyou/Dense-Normalization'>[GitHub]</a>
</center>
</span>
</table>
<br>
<hr>
<table align=center width=900px>
<center><h1>Paper and Supplementary Material</h1></center>
<tr>
<td><a href="https://arxiv.org/abs/2407.04245"><img class="layered-paper-big" style="height:175px" src="./images/paper.png"/></a></td>
<td><span style="font-size:14pt">Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu, and Yufeng Jane Tseng.<br>
<b>Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization.</b><br>
ECCV, 2024.<br>
(hosted on <a href="https://arxiv.org/abs/2407.04245">ArXiv</a>)<br>
<!-- (<a href="./resources/camera-ready.pdf">camera ready</a>)<br> -->
<span style="font-size:4pt"><a href=""><br></a>
</span>
</td>
</tr>
</table>
<br>

<table align=center width=600px>
<tr>
<td><span style="font-size:14pt"><center>
<a href="./images/bibtex.txt">[Bibtex]</a>
</center></td>
</tr>
</table>

<hr>
<br>

<table align=center width=900px>
<tr>
<td width=400px>
<left>
<center><h1>Acknowledgements</h1></center>
This template was originally made by <a href="http://web.mit.edu/phillipi/">Phillip Isola</a> and <a href="http://richzhang.github.io/">Richard Zhang</a> for a <a href="http://richzhang.github.io/colorization/">colorful</a> ECCV project; the code can be found <a href="https://github.com/richzhang/webpage-template">here</a>.
</left>
</td>
</tr>
</table>

<br>
</body>
</html>

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