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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;
}
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background-color: #eee;
border: 1px solid #eeeeee;
border-radius: 10px ;
-moz-border-radius: 10px ;
-webkit-border-radius: 10px ;
padding: 20px;
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video.header-vid {
height: 140px;
border: 1px solid black;
border-radius: 10px ;
-moz-border-radius: 10px ;
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border: 1px solid black;
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</style>
<html>
<head>
<title>Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness</title>
<meta property="og:image" content="Path to my teaser.png"/> <!-- Facebook automatically scrapes this. Go to https://developers.facebook.com/tools/debug/ if you update and want to force Facebook to rescrape. -->
<meta property="og:title" content="Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness" />
<meta property="og:description" content="Paper description." />
<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">Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness</span>
<br>
<br>
<table align=center width=900px>
<table align=center width=900px>
<tr>
<td align=center width=130px>
<center>
<span style="font-size:15px">Sicheng Yang</span>
</center>
</td>
<td align=center width=130px>
<center>
<span style="font-size:15px">Zunnan Xu</span>
</center>
</td>
<td align=center width=130px>
<center>
<span style="font-size:15px">Haiwei Xue</span>
</center>
</td>
<td align=center width=130px>
<center>
<span style="font-size:15px">Yongkang Cheng</span>
</center>
</td>
<td align=center width=130px>
<center>
<span style="font-size:15px">Shaoli Huang</span>
</center>
</td>
<td align=center width=130px>
<center>
<span style="font-size:15px">Mingming Gong</span>
</center>
</td>
<td align=center width=130px>
<center>
<span style="font-size:15px">Zhiyong Wu</span>
</center>
</td>
</tr>
</table>
<br>
<table align=center width=600px>
<tr>
<td align=center width=100px>
<center>
<span style="font-size:18px"><a href="https://2024.ieeeicassp.org/">ICASSP 2024</a></span>
</center>
</td>
</tr>
</table>
</table>
</center>
<br>
<center>
<table align=center width=850px>
<tr>
<td width=260px>
<center>
<img class="round" style="width:500px" src="./resources/teaser.png"/>
</center>
</td>
</tr>
</table>
</center>
<br>
<hr>
<table align=center width=850px>
<center><h1>Abstract</h1></center>
<tr>
<td>
Current talking avatars mostly generate co-speech gestures based on audio and text of the utterance, without considering the non-speaking motion of the speaker. Furthermore, previous works on co-speech gesture generation have designed network structures based on individual gesture datasets, which results in limited data volume, compromised generalizability, and restricted speaker movements. To tackle these issues, we introduce FreeTalker, which, to the best of our knowledge, is the first framework for the generation of both spontaneous (e.g., co-speech gesture) and non-spontaneous (e.g., moving around the podium) speaker motions. Specifically, we train a diffusion-based model for speaker motion generation that employs unified representations of both speech-driven gestures and text-driven motions, utilizing heterogeneous data sourced from various motion datasets. During inference, we utilize classifier-free guidance to highly control the style in the clips. Additionally, to create smooth transitions between clips, we utilize DoubleTake, a method that leverages a generative prior and ensures seamless motion blending. Extensive experiments show that our method generates natural and controllable speaker movements.
</td>
</tr>
</table>
<br>
<hr>
<!-- <hr> -->
<center><h1>Demo</h1></center>
<p align="center">
<iframe width="660" height="395" src="https://www.youtube.com/embed/jFovElT8VOk" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen align="center"></iframe>
</p>
<br>
<p align="center">
<iframe width="660" height="395" src="//player.bilibili.com/player.html?aid=745946963&bvid=BV17k4y1w7Hv&cid=1265536371&p=1" scrolling="no" border="0" frameborder="no" framespacing="0" allowfullscreen="true"> </iframe>
</p>
<br>
<hr>
<table align=center width=450px>
<center><h1>Paper</h1></center>
<tr>
<td><a href=""><img class="layered-paper-big" style="height:175px" src="./resources/paper.png"/></a></td>
<td><span style="font-size:14pt">Sicheng Yang, Zunnan Xu, Haiwei Xue, Yongkang Cheng, Shaoli Huang, Mingming Gong, Zhiyong Wu.<br>
<b>Freetalker: Controllable Speech and Text-Driven Gesture Generation Based on Diffusion Models for Enhanced Speaker Naturalness.</b><br>
In ICASSP, 2024.<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:28px"><center>
<a href="https://arxiv.org/abs/2401.03476">[ArXiv]</a>
</center></td>
</tr>
</table>
<br>
<hr>
<center><h1>Code</h1></center>
<table align=center width=420px>
<center>
<tr>
<td>
</td>
</tr>
</center>
</table>
<table align=center width=400px>
<tr>
<td align=center width=400px>
<center>
<td><img class="round" style="width:450px" src="./resources/method_diagram.png"/></td>
</center>
</td>
</tr>
</table>
<table align=center width=800px>
<br>
<tr><center>
<span style="font-size:28px"> <a href='https://github.com/YoungSeng/FreeTalker/'>[GitHub]</a>
</center>
</span>
</table>
<br>
<hr>
<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>