update index.html

index.html

@@ -431,7 +431,7 @@ <h2>Efficient High-Resolution Image Synthesis <br>
           </div>
         </div>
 
-        <a href="#" class="button">Paper</a>
+        <a href="https://arxiv.org/abs/2410.10629" class="button">Paper</a>
         <a href="https://github.com/NVlabs/Sana" class="button">Code (Coming soon)</a>
     </div>
 
@@ -496,7 +496,7 @@ <h2>About Sana</h2>
         </div>
 
         <div class="description-content">
-          <h2>Several core design details for Efficiency</h2>
+          <h2>Several Core Design Details for Efficiency</h2>
           <p>
               &nbsp;&nbsp;&nbsp;&nbsp;&bull;&nbsp;&nbsp;  <strong style="font-size: 18px;">Deep Compression Autoencoder: </strong>
               We introduce a new Autoencoder (AE) that aggressively increases the scaling factor to 32.
@@ -549,7 +549,7 @@ <h2>Overall Performance</h2>
 
         <!-- Video Section -->
         <div class="description-content">
-            <h2>Sana-0.6B is deployable on a customer-grade 4090 GPU</h2>
+            <h2>Sana-0.6B is Deployable on Laptop GPU</h2>
         </div>
         <div class="video-container">
             <video controls>
@@ -573,11 +573,12 @@ <h2 class="title">BibTeX</h2>
             <div class="citation-content">
                 <pre><code>@misc{xie2024sana,
       title={Sana: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer},
-      author={Enze Xie and Junsong Chen and Junyu Chen and Han Cai and Yujun Lin and Zhekai Zhang and Muyang Li and Ligeng Zhu and Yao Lu and Song Han},
+      author={Enze Xie and Junsong Chen and Junyu Chen and Han Cai and Haotian Tang and Yujun Lin and Zhekai Zhang and Muyang Li and Ligeng Zhu and Yao Lu and Song Han},
       year={2024},
-      eprint={0000.0000},
+      eprint={2410.10629},
       archivePrefix={arXiv},
-      primaryClass={cs.CV}
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2410.10629},
     }</code></pre>
             </div>
         </section>