LutaoJiang
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DiMeR

LutaoJiang commited on May 26

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@@ -19,7 +19,7 @@ Github: https://github.com/lutao2021/DiMeR
 Space: https://huggingface.co/spaces/LTT/DiMeR
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d61d8fd484956b5acc89fe/-qx2PR8bfroUz3Gq3K2G7.png)
 # Abstract
 With the advent of large-scale 3D datasets, feed-forward 3D generative models, such as the Large Reconstruction Model (LRM), have gained significant attention and achieved remarkable success. However, we observe that RGB images often lead to conflicting training objectives and lack the necessary clarity for geometry reconstruction.

 Space: https://huggingface.co/spaces/LTT/DiMeR
+![teaser.png](https://cdn-uploads.huggingface.co/production/uploads/65d61d8fd484956b5acc89fe/-qx2PR8bfroUz3Gq3K2G7.png)
 # Abstract
 With the advent of large-scale 3D datasets, feed-forward 3D generative models, such as the Large Reconstruction Model (LRM), have gained significant attention and achieved remarkable success. However, we observe that RGB images often lead to conflicting training objectives and lack the necessary clarity for geometry reconstruction.