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@@ -192,7 +192,7 @@ <h2 class="title is-3">Comparison with SOTA Methods</h2>
       NeRF based approaches while maintaining a high rendering speed during inference. Trained NeRF models are significantly smaller than
       3DGS since NeRFs are parameterized using neural networks while 3DGS requires storage of parameters of millions of 3D Gaussians.
       Our method, CompGS, is a vector quantized version of 3DGS that maintains the speed and performance advantages of 3DGS while being 40-50x 
-      smaller. ∗ Reproduced using official code. † Reported from 3DGS. Our timings for 3DGS and CompGS are reported using a RTX6000
+      smaller. ∗Reproduced using official code. †Reported from 3DGS. Our timings for 3DGS and CompGS are reported using a RTX6000
       GPU while those with † used A6000 GPU. We boldface entries for emphasis.
     </p>