better test

threedle · Dec 3, 2021 · e61a968 · e61a968
1 parent 67011c4
commit e61a968
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diff --git a/docs/_site/assets/css/style.css b/docs/_site/assets/css/style.css
@@ -261,15 +261,15 @@ body { padding: 0; margin: 0; font-family: "Open Sans", "Helvetica Neue", Helvet
 a { color: #00c9b8; text-decoration: none; }
 a:hover { text-decoration: underline; }
 
-.btn { display: inline-block; margin-bottom: 1rem; color: rgba(255, 255, 255, 0.7); background-color: rgba(255, 255, 255, 0.08); border-color: rgba(255, 255, 255, 0.2); border-style: solid; border-width: 1px; border-radius: 0.3rem; transition: color 0.2s, background-color 0.2s, border-color 0.2s; }
-.btn:hover { color: rgba(255, 255, 255, 0.8); text-decoration: none; background-color: rgba(255, 255, 255, 0.2); border-color: rgba(255, 255, 255, 0.3); }
+.btn { display: inline-block; margin-bottom: 1rem; color: rgba(54, 0, 141, 0.7); background-color: rgba(54, 0, 141, 0.08); border-color: rgba(54, 0, 141, 0.2); border-style: solid; border-width: 1px; border-radius: 0.3rem; transition: color 0.2s, background-color 0.2s, border-color 0.2s; }
+.btn:hover { color: rgba(54, 0, 141, 0.8); text-decoration: none; background-color: rgba(54, 0, 141, 0.2); border-color: rgba(54, 0, 141, 0.3); }
 .btn + .btn { margin-left: 1rem; }
 @media screen and (min-width: 64em) { .btn { padding: 0.75rem 1rem; } }
 @media screen and (min-width: 42em) and (max-width: 64em) { .btn { padding: 0.6rem 0.9rem; font-size: 0.9rem; } }
 @media screen and (max-width: 42em) { .btn { display: block; width: 100%; padding: 0.75rem; font-size: 0.9rem; }
   .btn + .btn { margin-top: 1rem; margin-left: 0; } }
 
-.page-header { color: #fff; text-align: center; background-color: #36008d; background-image: linear-gradient(120deg, #155799, #36008d); }
+.page-header { color: #091f36; text-align: center; background-color: white; background-image: linear-gradient(120deg, white, white); }
 @media screen and (min-width: 64em) { .page-header { padding: 4rem 5rem; } }
 @media screen and (min-width: 42em) and (max-width: 64em) { .page-header { padding: 2rem 3rem; } }
 @media screen and (max-width: 42em) { .page-header { padding: 1rem 0.5rem; } }

diff --git a/docs/_site/index.html b/docs/_site/index.html
@@ -24,7 +24,7 @@
     <meta name="viewport" content="width=device-width, initial-scale=1">
     <meta name="theme-color" content="#157878">
     <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
-    <link rel="stylesheet" href="/assets/css/style.css?v=9677be6a3c4b91fd28ee6e593dc3e85d4f4c5de7">
+    <link rel="stylesheet" href="/assets/css/style.css?v=67011c43635ee8bb38eb79772457f42b6a9eb735">
     <!-- start custom head snippets, customize with your own _includes/head-custom.html file -->
 
 <!-- Setup Google Analytics -->
@@ -74,7 +74,7 @@ <h2 id="abstract">Abstract</h2>
 <h2 id="overview">Overview</h2>
 <center>
 <img src="figures/pipeline.jpg" alt="Pipeline" width="1000" />
-<p><em>Text2Mesh Pipeline</em></p>
+<p><em>Text2Mesh modifies an input mesh to conform to the target text by predicting color and geometric details. The weights of the neural style network are optimized by rendering multiple 2D images and applying 2D augmentations, which are given a similarity score to the target from the CLIP-based semantic loss.</em></p>
 </center>
 
 <h2 id="view-consistency">View Consistency</h2>
@@ -120,6 +120,7 @@ <h3 id="target-mesh">Target Mesh</h3>
 </center>
 
 <h2 id="citation">Citation</h2>
+
 <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>@article{text2mesh,
     author = {Michel, Oscar
               and Bar-On, Roi

diff --git a/docs/index.md b/docs/index.md
@@ -20,7 +20,7 @@ In this work, we develop intuitive controls for editing the style of 3D objects.
 ## Overview
 <center>
 <img src="figures/pipeline.jpg" alt="Pipeline" width="1000"/>
-<p><em>Text2Mesh Pipeline</em></p>
+<p><em>Text2Mesh modifies an input mesh to conform to the target text by predicting color and geometric details. The weights of the neural style network are optimized by rendering multiple 2D images and applying 2D augmentations, which are given a similarity score to the target from the CLIP-based semantic loss.</em></p>
 </center>
 
 ## View Consistency