From 2d766b4803e6422e3ff5ecb3fb895c2857b58eac Mon Sep 17 00:00:00 2001
From: Xiaoming Zhao <xiaoming.zhao9@gmail.com>
Date: Fri, 28 Jun 2024 11:21:02 -0500
Subject: [PATCH] update related works

---
 index.html | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/index.html b/index.html
index ac562b1..b780143 100755
--- a/index.html
+++ b/index.html
@@ -191,10 +191,12 @@ <h3 class="title is-4">3D Consistent Relighting</h3>
       <h2 class="title is-3">Related Works</h2>
       <div class="column is-full">
         <div class="content has-text-left">
-          Check out the following two concurrent works which also introduce a single-image relighting diffusion model. <a href="https://neural-gaffer.github.io/" target="_blank">Neural Gaffer</a> is also capable of 3D relighting.
+          Check out the following concurrent works which also introduce a (single-image) relighting diffusion model.
+          <!-- <a href="https://neural-gaffer.github.io/" target="_blank">Neural Gaffer</a> is also capable of 3D relighting. -->
           <ul>
             <li><a href="https://dilightnet.github.io/" target="_blank">DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation</a></li>
-            <li><a href="https://neural-gaffer.github.io/" target="_blank">Neural Gaffer: Relighting Any Object via Diffusion</a></li>
+            <li><a href="https://neural-gaffer.github.io/" target="_blank">Neural Gaffer: Relighting Any Object via Diffusion</a> (also capable of 3D relighting)</li>
+            <li><a href="https://repo-sam.inria.fr/fungraph/generative-radiance-field-relighting/" target="_blank">A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis</a> (also capable of 3D relighting)</li>
           </ul>
         </div>
       </div>