update

Author: vztu

index.html

@@ -341,6 +341,16 @@ <h2>News</h2>
                                     </li>
                                     </ul>
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+                            <ul style="margin-bottom:5px">
+                                <li>1x TMLR accepted. Cheers!</li>
+                                <ul style="margin-bottom:5px">
+                                    <li>
+                                         <a href="">
+                                         Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
+                                         </a>
+                                    </li>
+                                    </ul>
+                            </ul>
 
 
                             <b style="color:rgb(40, 40, 40)">[Oct 2024]</b>

publication.html

@@ -209,6 +209,12 @@ <h2>Journal Paper</h2>
                     <div class="trend-entry d-flex">
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                             <ul>
+                                <li>R. Zhu, Z. Tu, J. Liu, A.C. Bovik, Y. Fan
+                                    <br> <b style="color:rgb(71, 71, 71)">"MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers"</b>
+                                    <br>IEEE Transactions on Image Processing, 2024. <a href="">[Paper]</a> <a href="">[Code]</a></li>
+                                <li>K. Mei, Z. Tu, M. Delbracio, H. Talebi, V. M. Patel, P. Milanfar
+                                    <br> <b style="color:rgb(71, 71, 71)">"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models"</b>
+                                    <br>Transactions on Machine Learning Research, 2024. <a href="https://arxiv.org/abs/2404.01367">[Paper]</a></li>
                                 <li>R. Xu, C.J. Chen, Z. Tu, M.H. Yang
                                     <br> <b style="color:rgb(71, 71, 71)">"V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception"</b>
                                     <br>IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. <a href="https://ieeexplore.ieee.org/abstract/document/10715696">[Paper]</a> <a href="https://github.com/DerrickXuNu/OpenCOOD">[Code]</a></li>
@@ -520,7 +526,7 @@ <h2>Workshop Paper</h2>
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+</div>
 
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@@ -554,6 +560,7 @@ <h2>Workshop Paper</h2>
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