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<!DOCTYPE html>
<html lang="en-us">
<head>
<meta charset="UTF-8">
<title>IKOL</title>
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<section class="page-header">
<h1 class=>AAAI 2023 </h1>
<h1 class="project-name">IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation</h1>
<h2 class="project-tagline">Juze Zhang<sup>1,2,3,4</sup>   Ye Shi<sup>1,4</sup>*   Yuexin Ma<sup>1,4</sup>   Lan Xu<sup>1,4</sup>  Jingyi Yu<sup>1,4</sup>   Jingya Wang<sup>1,4,</sup>*</h2>
<h2 class="project-tagline"><sup>1</sup>ShanghaiTech University   <sup>2</sup>Shanghai Advanced Research Institute, Chinese Academy of Sciences </h2>
<h2 class="project-tagline"><sup>3</sup>University of Chinese Academy of Sciences  <sup>4</sup>Shanghai Engineering Research Center of Intelligent Vision and Imaging</h2>
<a href="http://arxiv.org/abs/2302.01058" class="btn">paper</a>
<a href="https://github.com/Juzezhang/IKOL" class="btn">code</a>
<a href="" class="btn">slides</a>
<a href="" class="btn">poster</a>
</section>
<section class="main-content">
<p>In this paper, we propose an inverse kinematics optimization layer that leverages the strengths of both optimization and regression for end-to-end 3D human pose and shape estimation, namely IKOL. </p>
<p><img src="Pipeline-IKOL.png" alt="" style="max-width:100%;"></p>
<h1>
<a id="user-content-header-1" class="anchor" href="#header-1" aria-hidden="true"><span class="octicon octicon-link"></span></a>Video</h1>
<div class="video"><iframe class="video" frameborder="0" width="100%" height="500"
src="https://www.youtube.com/embed/RvaC7w-rIhg">
</iframe></div>
<h1>
<a id="user-content-header-1" class="anchor" href="#header-1" aria-hidden="true"><span class="octicon octicon-link"></span></a>Citation</h1>
If you find this repository useful in your research, please consider citing:
<p><div class="highlight highlight-Javascript"><pre>
@inproceedings{
zhang2023ikol,
title={IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation},
author={Juze Zhang and Ye Shi and Yuexin Ma and Lan Xu and Jingyi Yu and Jingya Wang},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
year={2023},
};
</pre></div></p>
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