nexf

Author: jonbarron

images/nexf_after.jpg

@@ -54,7 +54,51 @@ <h2>Research</h2>
           </tbody></table>
           <table style="width:100%;border:0px;border-spacing:0px 10px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
 
+<tr onmouseout="nexf_stop()" onmouseover="nexf_start()">
+      <td style="padding:16px;width:20%;vertical-align:middle">
+        <div class="one">
+          <div class="two" id='nexf_image'>
+					  <img src='images/nexf_after.jpg' width=100%>
+					</div>
+          <img src='images/nexf_before.jpg' width=100%>
+        </div>
+        <script type="text/javascript">
+          function nexf_start() {
+            document.getElementById('nexf_image').style.opacity = "1";
+          }
 
+          function nexf_stop() {
+            document.getElementById('nexf_image').style.opacity = "0";
+          }
+          nexf_stop()
+        </script>
+      </td>
+      <td style="padding:8px;width:80%;vertical-align:middle">
+        <a href="https://m-niemeyer.github.io/nexf/">
+          <span class="papertitle">NExF: Learning Neural Exposure Fields for View Synthesis</span>
+        </a>
+        <br>
+        <a href="https://m-niemeyer.github.io/">Michael Niemeyer</a>,
+        <a href="https://campar.in.tum.de/Main/FabianManhardt">Fabian Manhardt</a>,
+        <a href="http://www.lix.polytechnique.fr/Labo/Marie-Julie.RAKOTOSAONA/">Marie-Julie Rakotosaona</a>,
+        <a href="https://moechsle.github.io">Michael Oechsle</a>,
+        <a href="https://ait.ethz.ch/people/ctsalico">Christina Tsalicoglou</a>,
+        <a href="https://scholar.google.com/citations?user=ml3laqEAAAAJ&hl=ja">Keisuke Tateno</a>,
+        <strong>Jonathan T. Barron</strong>,
+        <a href="https://federicotombari.github.io/">Federico Tombari</a>
+        <br>
+        <em>NeurIPS</em>, 2025
+        <br>
+        <a href="https://m-niemeyer.github.io/nexf/">project page</a>
+        /
+        <a href="https://arxiv.org/abs/2510.08279">arXiv</a>
+        <p></p>
+        <p>
+		Learning a neural field that optimizes exposure for each 3D point enables high-quality 3D-consistent view synthesis despite extreme exposure variation during capture.
+        </p>
+      </td>
+    </tr>
+	
     <tr onmouseout="bolt3d_stop()" onmouseover="bolt3d_start()"  bgcolor="#ffffd0">
       <td style="padding:16px;width:20%;vertical-align:middle">
         <div class="one">