update main page

StarGen/index.html

@@ -123,7 +123,7 @@ <h1 class="title is-1 publication-title">
     <div class="hero-body">
       <div class="columns is-centered has-text-centered">
         <div class="column is-four-fifths">
-          <h2 class="title is-3">Video</h2>
+          <!-- <h2 class="title is-3">Video</h2> -->
           <video id="teaser" autoplay controls muted loop playsinline height="100%">
               <source src="./static/videos/StarGen.mp4"
                 type="video/mp4">
@@ -136,35 +136,6 @@ <h2 class="title is-3">Video</h2>
 
 <hr>
 
-<!-- Abstract Section -->
-<section class="section">
-  <div class="container is-max-desktop">
-    <!-- Abstract. -->
-    <div class="columns is-centered has-text-centered">
-      <div class="column is-four-fifths">
-        <h2 class="title is-3">Abstract</h2>
-        <div class="content has-text-justified">
-          <!-- <img src="./static/images/teaser.png"> -->
-          <p>
-            Recent advances in large reconstruction and generative models have significantly improved scene reconstruction
-            and novel view generation. However, due to compute limitations, each inference with these large models is confined
-            to a small area, making long-range consistent scene generation challenging. To address this, we propose <strong>StarGen</strong>,
-            a novel framework that employs a pre-trained video diffusion model in an autoregressive manner for long-range
-            scene generation. Each video clip generation is conditioned on the 3D warping of spatially adjacent images and the
-            temporally overlapping image from the last generated clip, improving spatiotemporal consistency in long-range scene
-            generation with precise pose control. The spatiotemporal condition is compatible with various input conditions facilitating diverse tasks, including sparse view interpolation,
-            perpetual view generation, and layout-conditioned city generation. Quantitative and qualitative evaluations demonstrate StarGen’s superior scalability, fidelity, and pose accuracy compared to state-of-the-art methods.
-          </p>
-        </div>
-      </div>
-    </div>
-    <!--/ Abstract. -->
-  </div>
-
-</section>
-
-<hr>
-
 <!-- Experience Sections -->
 <section class="section">
   <div class="container is-max-desktop">