<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>diffcloth | Yifei Li</title><link>https://liyifei.org/tag/diffcloth/</link><atom:link href="https://liyifei.org/tag/diffcloth/index.xml" rel="self" type="application/rss+xml"/><description>diffcloth</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© 2026 Yifei Li | 君子不器</copyright><lastBuildDate>Fri, 01 Apr 2022 00:00:00 +0000</lastBuildDate><image><url>https://liyifei.org/media/icon_huce83f9d2cff91faab74beee6f515005c_132226_512x512_fill_lanczos_center_3.png</url><title>diffcloth</title><link>https://liyifei.org/tag/diffcloth/</link></image><item><title>DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact</title><link>https://liyifei.org/publication/diffcloth/</link><pubDate>Fri, 01 Apr 2022 00:00:00 +0000</pubDate><guid>https://liyifei.org/publication/diffcloth/</guid><description>&lt;!-- &lt;div class="alert alert-note">
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&lt;h3 id="keywords">Keywords&lt;/h3>
&lt;p>diffcloth, projective dynamics, jacobi solver, cloth simulation, differentiable simulation, physics simulation, inverse problems&lt;/p>
&lt;h3 id="code-">Code 💻&lt;/h3>
&lt;p>Follow our Github repository &lt;a href="https://github.com/omegaiota/DiffCloth" target="_blank" rel="noopener">Diffcloth&lt;/a> &lt;iframe src="https://ghbtns.com/github-btn.html?user=omegaiota&amp;amp;repo=DiffCloth&amp;amp;type=star&amp;amp;count=true&amp;amp;size=large" frameborder="0" scrolling="0" width="170" height="30" title="GitHub">&lt;/iframe>&lt;/p>
&lt;a href="https://github.com/omegaiota/diffcloth" target="_blank" rel="noopener">
&lt;div class="d-flex justify-content-center">
&lt;div class="w-100">&lt;img src="https://gh-card.dev/repos/omegaiota/diffcloth.svg?fullname=" alt="omegaiota/diffcloth - GitHub" loading="lazy" data-zoomable="" class="medium-zoom-image">&lt;/div>
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&lt;h3 id="demos">Demos&lt;/h3>
&lt;p>For details refer to the paper Sec 6. Applications.&lt;/p>
&lt;h4 id="hat-trajectory-optimization">Hat: Trajectory Optimization&lt;/h4>
&lt;p>Optimize manipulator end effector trajectories to move the hat onto the head. &lt;br>
1737 Dof, h=1/100s, 400 Timesteps, 18 Design Parameters
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&lt;div class="w-100" >&lt;img src="hat.gif#paper_image" alt="" loading="lazy" data-zoomable />&lt;/div>
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&lt;h4 id="sock-trajectory-optimization">Sock: Trajectory Optimization&lt;/h4>
&lt;p>Optimize manipulator end effector trajectories to put on the sock. &lt;br>
3165 Dof, h=1/160s, 400 Timesteps, 36 Design Parameters
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&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img src="sock.gif#paper_image" alt="" loading="lazy" data-zoomable />&lt;/div>
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&lt;h4 id="hat-controller-closed-loop-control">Hat-Controller: Closed-Loop Control&lt;/h4>
&lt;p>We train a &lt;em>generalizable&lt;/em> closed-loop controller that can put on the hat from different initial positions. &lt;br>
1737 Dof, h=1/100s, 400 Timesteps, 117126 Design Parameters&lt;/p>
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&lt;div class="w-100" >&lt;img src="hatcontroller.gif#paper_image" alt="" loading="lazy" data-zoomable />&lt;/div>
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&lt;h4 id="dress-inverse-design">Dress: Inverse Design&lt;/h4>
&lt;p>Optimize dress material parameters so that the spinning angle of the dress is 50 degrees. &lt;br>
10902 Dof, h=1/120s, 125 Timesteps, 2 Design Parameters
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&lt;div class="w-100" >&lt;img src="dress.gif#paper_image" alt="" loading="lazy" data-zoomable />&lt;/div>
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&lt;h4 id="sphere-system-identification">Sphere: System Identification&lt;/h4>
&lt;p>Optimize the fricitonal coefficient between the sphere and the cloth to match target trajectory. &lt;br>
1875 Dof, h=1/180s, 350 Timesteps, 1 Design Parameters
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&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img src="sphere.gif#paper_image" alt="" loading="lazy" data-zoomable />&lt;/div>
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&lt;h4 id="t-shirt-system-identification">T-shirt: System Identification&lt;/h4>
&lt;p>Optimize wind model and cloth material parameters to match target trajectory. &lt;br>
4278 Dof, h=1/90s, 250 Timesteps, 6 Design Parameters
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&lt;div class="d-flex justify-content-center">
&lt;div class="w-100" >&lt;img src="tshirt.gif#paper_image" alt="" loading="lazy" data-zoomable />&lt;/div>
&lt;/div>&lt;/figure>
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&lt;h3 id="demo">Demo&lt;/h3>
&lt;div class="video-container">
&lt;iframe src="https://www.youtube.com/embed/WWmWuhJcPYY" class="video" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="">&lt;/iframe>
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&lt;h3 id="presentation">Presentation&lt;/h3>
&lt;div class="video-container">
&lt;iframe src="https://www.youtube.com/embed/GH8jLG7UIYQ" class="video" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="">&lt;/iframe>
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&lt;h3 id="citation">Citation&lt;/h3>
&lt;pre>&lt;code>@article{li2022diffcloth,
author = {Li, Yifei and Du, Tao and Wu, Kui and Xu, Jie and Matusik, Wojciech},
title = {DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
issn = {0730-0301},
url = {https://doi.org/10.1145/3527660},
doi = {10.1145/3527660},
abstract = {Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dressing. This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications. Our differentiable simulator extends a state-of-the-art cloth simulator based on Projective Dynamics (PD) and with dry frictional contact&amp;amp;nbsp;[Ly et&amp;amp;nbsp;al. 2020]},
note = {Just Accepted},
journal = {ACM Trans. Graph.},
month = {mar},
keywords = {cloth simulation, differentiable simulation, Projective Dynamics}
}
&lt;/code>&lt;/pre>
&lt;h3 id="acknowledgement">Acknowledgement&lt;/h3>
&lt;p>We thank Marco Renedo for his helpful discussions on the preconditioners, Junbang Liang for his help with
running the baseline comparison code, and the anonymous reviewers for their helpful comments. This work was
supported in part by the Defense Advanced Research Projects Agency (DARPA) under grant No. FA8750-20-C-0075.&lt;/p></description></item></channel></rss>