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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>
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                                 <a href="https://nihalsid.github.io/">Yawar Siddiqui</a><sup>1</sup>,</span>
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                 <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.
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-		<h2 class="is-size-3">CVPR 2024 Highlight</h2>
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