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-                        <h1 class="title is-1 publication-title">MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers</h1>
+                        <h1 class="title is-1 publication-title">MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers</h1>    
+			<h2 class="is-size-3">CVPR 2024 Highlight</h2>
                         <div class="is-size-4 publication-authors">
                             <span class="author-block">
                                 <a href="https://nihalsid.github.io/">Yawar Siddiqui</a><sup>1</sup>,</span>
@@ -165,7 +166,6 @@ <h1 class="title is-1 publication-title">MeshGPT: Generating Triangle Meshes wit
                 <h2 class=" subtitle has-text-centered" style="padding-top: 10px">
                     <span class="dnerf">MeshGPT</span> creates triangle meshes by autoregressively sampling from a transformer model that has been trained to produce tokens from a learned geometric vocabulary. These tokens can then be decoded into the faces of a triangle mesh. Our method generates  clean, coherent, and compact meshes, characterized by sharp edges and high fidelity.
                 </h2>
-		<h2 class="is-size-3">CVPR 2024 Highlight</h2>
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