[an error occurred while processing this directive]<meta name="keywords" content="Department of Computer Science, publications, by title, Intuitive Physics"></meta><meta name="description" content="Publications, by title,Intuitive Physics, Department of Computer Science, Oxford"></meta><title>Department of Computer Science: Intuitive Physics: Publications
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			</style>[an error occurred while processing this directive]<div class="content-width"><ol class="breadcrumb text-uppercase"><li><a href="/">Home</a></li><li><a href="/research/">Research</a></li><li><a href="/research/cyberphysical/">Systems</a></li><li><a href="/research/cyberphysical/activities.html">activities</a></li><li><a href="/activities/IntuitivePhysics/">Intuitive Physics</a></li><li class="active">Publications</li></ol></div><!-- MOBILE NAVIGATION --><div class="content-width space-below mobile-menu-placeholder visible-xs visible-sm"></div><!-- COLUMNS --><div class="container-fluid content-width"><div class="row"><div class="col-xs-12 col-md-9 col-md-push-3" id="maincontent"><!-- CONTENT (Column 2) --><div class="page-title"><h1>Intuitive Physics: Publications
</h1></div><div role="toolbar" class="btn-toolbar"><div class="btn-group"><a href="/activities/publications/date/IntuitivePhysics.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By date</a><a href="/activities/publications/title/IntuitivePhysics.html" aria-hidden="true" type="button" class="btn btn-oxford-blue"><span class="glyphicon glyphicon-sort-by-attributes"></span> By title</a><a href="/activities/publications/type/IntuitivePhysics.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-sort-by-attributes"></span> By type</a><a href="/activities/publications/bibtex/IntuitivePhysics.html" aria-hidden="true" type="button" class="btn btn-default"><span class="glyphicon glyphicon-file"></span> BibTex</a></div></div><ul class="list-unbulleted list-unbulleted-spaced"><li>
	
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	<p class="publicationTitle"> <strong>
            3D&#x2212;PhysNet: Learning the Intuitive Physics of Non&#x2212;Rigid Object Deformations </strong> </p>
	    <p class="publicationAuthors"> <em> Zhihua Wang&#x201a; Stefano Rosa&#x201a; Bo Yang&#x201a; Sen Wang&#x201a; Niki Trigoni and Andrew Markham  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence IJCAI&#x2212;ECAI</em>.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication11929-abstract.html">
			Details <span class="sr-only" > about <em> 3D&#x2212;PhysNet: Learning the Intuitive Physics of Non&#x2212;Rigid Object Deformations  </em></span> </a> |
			<a href="/publications/publication11929.bib">
			BibTeX  <span class="sr-only" > data for <em> 3D&#x2212;PhysNet: Learning the Intuitive Physics of Non&#x2212;Rigid Object Deformations  </em></span>   </a>
			
			

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					    <span class="sr-only" > of <em> 3D&#x2212;PhysNet: Learning the Intuitive Physics of Non&#x2212;Rigid Object Deformations  </em></span>

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	<p class="publicationTitle"> <strong>
            Defo&#x2212;Net: Learning body deformation using generative adversarial networks </strong> </p>
	    <p class="publicationAuthors"> <em> N. Trigoni Z. Wang S. Rosa L. Xie B. Yang S. Wang and A. Markham  </em> </p>
	
	<p class="publicationDetails"> 
            In  
            <em>
            IEEE Intl Conference on Robotics and Automation (ICRA)</em>.
        2018.
        </p>
	
        		<p class="publicationlinks"> <a
        
            		href="/publications/publication11896-abstract.html">
			Details <span class="sr-only" > about <em> Defo&#x2212;Net: Learning body deformation using generative adversarial networks  </em></span> </a> |
			<a href="/publications/publication11896.bib">
			BibTeX  <span class="sr-only" > data for <em> Defo&#x2212;Net: Learning body deformation using generative adversarial networks  </em></span>   </a>
			
			

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                			    href="http://www.cs.ox.ac.uk/files/10096/PublicationFile">Download
					    

					    <span class="sr-only" > of <em> Defo&#x2212;Net: Learning body deformation using generative adversarial networks  </em></span>

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