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Objaverse-PLY-125k

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tfnn commited on Apr 14

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@@ -8,7 +8,7 @@ These models have had their materials & normals removed, have been normalised in
 As a result each model is much smaller in size, every model is uniform and faster to process.
-This dataset is great for training networks about shapes of 3D objects.
 My suggested use of this dataset is to raytrace a point-cloud of 𝑥 density from the triangle faced meshes, this can then be used to train a neural network to produce point-cloud shapes which can then be re-meshed.

 As a result each model is much smaller in size, every model is uniform and faster to process.
+This dataset is great for training networks on shapes of 3D objects.
 My suggested use of this dataset is to raytrace a point-cloud of 𝑥 density from the triangle faced meshes, this can then be used to train a neural network to produce point-cloud shapes which can then be re-meshed.