update bibtex

m990130 · m990130 · commit 1f965592b611 · 2025-10-17T21:15:32.000+02:00
diff --git a/README.md b/README.md
@@ -75,10 +75,10 @@ Coming soon
 
 If you use this codebase or otherwise found our work valuable, please cite our paper:
 ```bibtex
-@article{ma2025scflow,
+@inproceedings{ma2025scflow,
   title={SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models},
   author={Ma, Pingchuan and Yang, Xiaopei and Li, Yusong and Gui, Ming and Krause, Felix and Schusterbauer, Johannes and Ommer, Bj{\"o}rn},
-  journal={arXiv preprint arXiv:2508.03402},
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
   year={2025}
 }
 ```
diff --git a/docs/index.html b/docs/index.html
@@ -3,11 +3,12 @@
 <head>
   <meta charset="utf-8">
   <meta name="description"
-        content="SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models">
+        content="We learn disentangled representations implicitly by training only on merging them.">
   <meta name="keywords" content="Content and Style Disentanglement, Emergent Property, Flow Matching, New Dataset">
   <meta name="viewport" content="width=device-width, initial-scale=1">
 
 
+
   <title>SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models</title>
   <style>
     .container.is-max-desktop {
@@ -126,10 +127,11 @@ <h2 class="title is-3">ICCV 2025</h2>
       <div class="column is-four-fifths">
         <div class="content has-text-justified">
           <p style="margin-bottom: 20px; margin-top: 10px;">
-            <span style="font-weight: bold; font-size: 1.3em;">TL;DR:</span> We introduce SCFlow (top), a bidirectional model that enables 
+            <span style="font-weight: bold; font-size: 2em;">TL;DR:</span>
+            <span style="font-size: 1.3em;"> We introduce SCFlow (top), a bidirectional model that enables 
             both style-content mixing and disentangling within a single framework.
             Additionally, we curated a large-scale dataset (bottom) to facilitate effective learning and evaluation. 
-            Our approach generalizes well across diverse styles and contents, supporting both representation learning and controllable generation tasks.
+            Our approach generalizes well across diverse styles and contents, supporting both representation learning and controllable generation tasks.</span> 
           </p> <br> 
 
         </div>
@@ -372,21 +374,35 @@ <h3 class="title has-text-centered">
   <section class="section" id="BibTeX">
     <div class="container is-max-desktop content">
       <h2 class="title">BibTeX</h2>
-      <pre><code>@article{ma2025scflow,
+      <pre><code>@inproceedings{ma2025scflow,
   title={SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models},
   author={Ma, Pingchuan and Yang, Xiaopei and Li, Yusong and Gui, Ming and Krause, Felix and Schusterbauer, Johannes and Ommer, Bj{\"o}rn},
-  journal={arXiv preprint arXiv:2508.03402},
+  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
   year={2025}
-  }</code></pre>
+}</code></pre>
+    </div>
+    <div class="container is-max-desktop content">
+      <h2 class="title">Check out other works from our group at ICCV 2025:</h2>
+      <ol>
+        <li>
+          <a href="https://compvis.github.io/Art-fm/" target="_blank" rel="noopener noreferrer">
+            Stochastic Interpolants for Revealing Stylistic Flows across the History of Art
+          </a>
+        </li>
+        <li>
+          <a href="https://compvis.github.io/flow-poke-transformer/" target="_blank" rel="noopener noreferrer">
+            What If: Understanding Motion Through Sparse Interactions
+          </a>
+        </li>
+        <li>
+          <a href="https://compvis.github.io/tread/" target="_blank" rel="noopener noreferrer">
+            Tread: Token Routing for Efficient Architecture-agnostic Diffusion Training
+          </a>
+        </li>
+      </ol>
     </div>
   </section>
-  <!--End BibTex citation -->
-        <!-- @inproceedings{tbd,
-    title={SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models}, 
-    author={Pingchuan Ma and Xiaopei Yang and Yusong Li and Ming Gui and Felix Krause and Johannes Schusterbauer Björn Ommer},
-    booktitle={ICCV},
-    year={2025}
-  } -->
+
 
 
 
