diff --git a/README.md b/README.md
index 4747b69..933e876 100644
--- a/README.md
+++ b/README.md
@@ -119,6 +119,8 @@ If you use our survey in your research, please cite our work. You can use the fo
 
 ## Updates
 
+- 2024-10-21: Officialy rename "densification" methods to "compaction" methods on website to align with survey paper
+- 2024-10-17: Add GaussiansPro, AtomGS and Taming3DGS to densification/compaction methods
 - 2024-10-14: Add MesonGS to compression methods
 - 2024-09-30: Add densification methods to survey
 - 2024-09-17: Updated Morgenstern et al. results and reverted HAC results because of [confusion about testing conventions](https://github.com/YihangChen-ee/HAC/issues/14)
diff --git a/project-page/index_template.html b/project-page/index_template.html
index e776057..9c22e0a 100644
--- a/project-page/index_template.html
+++ b/project-page/index_template.html
@@ -135,7 +135,7 @@ <h1 class="title is-1 publication-title">
             <input type="checkbox" id="switchInputCD">
             <span class="slider"></span>
         </label>
-        <span class="switch-text right">Densification</span>
+        <span class="switch-text right">Compaction</span>
     </div>
 </div>
 
@@ -170,7 +170,7 @@ <h1 class="title is-1 publication-title">
       <div class="selection-col">
         <b style="margin-bottom: 5px; display: inline-block;">Methods:</b>
         <label><input type="checkbox" class="row-toggle-c" checked>Compression</label>
-        <label><input type="checkbox" class="row-toggle-d">Densification</label>
+        <label><input type="checkbox" class="row-toggle-d">Compaction</label>
      </div>
     </div>
   </div>
@@ -330,17 +330,19 @@ <h1 class="title is-1 publication-title">
                         <br>
 
                         The <b>ranks</b> represent the average rankings of the methods across all available and selected datasets. 
-                        The slider above the table allows you to toggle between ranking methods (compression and densification) as well 
+                        The slider above the table allows you to toggle between ranking methods (compression and compaction) as well 
                         as pre-selected shown attributes, datasets, and methods.
                         Selections can be further refined using the checkboxes below the table.
 
                         <br>
                         <br>
 
-                        While all selected datasets contribute to the compression rank, the densification rank is limited only 
+                        According to our definitions, the <b>compression rank</b> seeks the smallest file size for the highest possible quality, 
+                        while the <b>compaction rank</b> assesses the minimal number of Gaussians in relation to image quality.
+                        While all selected datasets contribute to the compression rank, the compaction rank is limited only 
                         to the Tanks and Temples, Mip-NeRF 360 and Deep Blending datasets.
                         The quality metrics <b>PSNR</b>, <b>SSIM</b>, and <b>LPIPS</b> are equally weighted with the <b>model size</b> for the compression rank, 
-                        and with the <b>number of Gaussians</b> for the densification rank.
+                        and with the <b>number of Gaussians</b> for the compaction rank.
 
                         <br>
                         <br>