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Kmcode1 · Oct 22, 2024 · 9d81188 · 9d81188
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diff --git a/Projects/SG-I2V/data/sgi2v1080p.gif b/Projects/SG-I2V/data/sgi2v1080p.gif
diff --git a/Projects/SG-I2V/data/sgi2v480p.gif b/Projects/SG-I2V/data/sgi2v480p.gif
diff --git a/Projects/SG-I2V/data/sgi2v720p.gif b/Projects/SG-I2V/data/sgi2v720p.gif
diff --git a/Projects/SG-I2V/index.html b/Projects/SG-I2V/index.html
@@ -95,14 +95,20 @@ <h1 class="text-center" style="font-size:22px;">arXiv 2024</h1>
         </div>
         </div>
     </div>
-    <!--<hr class="divider" />
+    <hr class="divider" />
     <div class="container" style="max-width: 768px;">
         <div class="compositional captioned_videos">
-            <video class="video lazy" autoplay loop playsinline muted>
-                <source data-src="data/videos/teaser.mp4" type="video/mp4"></source>
-            </video>
+            <img src="data/sgi2v720p.gif" alt="teaser" style="width: 100%"/>
+        </div>
+        <div class="row captioned_videos">
+            <div class="col-md-12">
+                <p>
+                    TL;DR: Given a set of bounding boxes with associated trajectories, we leverage the knowledge present in a pre-trained image-to-video diffusion model to achieve object and camera motion control.
+                    Our method is self-guided, offering zero-shot control without fine-tuning or relying on external knowledge.
+                </p>
+            </div>
         </div>
-    </div>-->
+    </div>
     <hr class="divider" />
     <div class="container" style="max-width: 768px;">
         <div class="row">