Update title 2.

Author: keunhong

index.html

@@ -169,8 +169,8 @@ <h1 class="title is-1 publication-title">Nerfies: Deformable Neural Radiance Fie
                   type="video/mp4">
         </video>
         <h2 class="subtitle has-text-centered">
-          <span class="dnerf">D-NeRF</span> turns selfie videos from your phone into free-viewpoint
-          portraits (<i>nerfies</i>).
+          <span class="dnerf">Nerfies</span> turns selfie videos from your phone into free-viewpoint
+          portraits.
         </h2>
       </div>
     </div>
@@ -249,7 +249,7 @@ <h2 class="title is-2">Abstract</h2>
             deforming scene using photos/videos captured casually from mobile phones.
           </p>
           <p>
-            Our approach -- <span class="dnerf">D-NeRF</span> -- augments neural radiance fields
+            Our approach augments neural radiance fields
             (NeRF) by optimizing an
             additional continuous volumetric deformation field that warps each observed point into a
             canonical 5D NeRF.
@@ -261,7 +261,7 @@ <h2 class="title is-2">Abstract</h2>
             improves robustness.
           </p>
           <p>
-            We show that <span class="dnerf">D-NeRF</span> can turn casually captured selfie
+            We show that <span class="dnerf">Nerfies</span> can turn casually captured selfie
             photos/videos into deformable NeRF
             models that allow for photorealistic renderings of the subject from arbitrary
             viewpoints, which we dub <i>"nerfies"</i>. We evaluate our method by collecting data
@@ -375,7 +375,7 @@ <h3 class="title is-4">Interpolating states</h3>
         <h3 class="title is-4">Re-rendering the input video</h3>
         <div class="content has-text-justified">
           <p>
-            Using <span class="dnerf">D-NeRF</span>, you can re-render a video from a novel
+            Using <span class="dnerf">Nerfies</span>, you can re-render a video from a novel
             viewpoint such as a stabilized camera by playing back the training deformations.
           </p>
         </div>