Update index.html

Author: naveenguptaiitr

projects/GFI-framework/index.html

@@ -80,20 +80,6 @@ <h2 class="subtitle is-4 has-text-weight-bold">ICLR 2025</h2>
       <figcaption> Generalized Forward-Inverse Framework </figcaption>
     </figure>
   </div>
-  <div class="model_architectures">
-    <div class="latent_unet">
-      <figure>
-        <img src="./static/images/LatentU-Net.png" alt="Latent U-Net architecture" loading="lazy" width=45%>
-        <figcaption> Latent U-Net architecture </figcaption>
-      </figure>
-    </div>
-    <div class="inv_xnet">
-      <figure>
-        <img src="./static/images/InvertibleX-Net.png" alt="Invertible X-Net architecture" loading="lazy" width=45%>
-        <figcaption> Invertible X-Net architecture </figcaption>
-      </figure>
-    </div>
-  </div>
   <hr style="width: 60%; margin: 2rem auto;">
 </section>
 
@@ -116,6 +102,31 @@ <h2 class="title is-3"> Abstract </h2>
 <section class="section">
   <div class="container is-max-desktop has-text-centered">
     <h2 class="title is-3">Method Overview</h2>
+    <p>
+      We propose Generalized Forward-Inverse (GFI) framework based on two assumptions. First, according to the manifold assumption, we assume that the velocity maps v ∈ V and seismic
+    waveforms p ∈ P can be projected to their corresponding latent space representations, v˜ and p˜,
+    respectively, which can be mapped back to their reconstructions in the original space, vˆ and pˆ. Note
+    that the sizes of the latent spaces can be smaller or larger than the original spaces. Further, the size
+    of v˜ may not match with the size of p˜. Second, according to the latent space
+    translation assumption, we assume that the problem of learning forward and inverse mappings in
+    the original spaces of velocity and waveforms can be reformulated as learning translations in their
+    latent spaces. 
+    </p>
+
+    <div class="model_architectures">
+    <div class="latent_unet">
+      <figure>
+        <img src="./static/images/LatentU-Net.png" alt="Latent U-Net architecture" loading="lazy" width=45%>
+        <figcaption> Latent U-Net architecture </figcaption>
+      </figure>
+    </div>
+    <div class="inv_xnet">
+      <figure>
+        <img src="./static/images/InvertibleX-Net.png" alt="Invertible X-Net architecture" loading="lazy" width=45%>
+        <figcaption> Invertible X-Net architecture </figcaption>
+      </figure>
+    </div>
+  </div>
 
   </div>
   <hr style="width: 60%; margin: 2rem auto;">