Update README.md

README.md

@@ -6,7 +6,8 @@ title: Transformer-Based Point Cloud Denoising/Completion Models
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 Four variants of the model architecture were trained on a random subset (50%) of ShapeNetCore. 
-The models are based on two types of data augmentations: random noise perturbations (Gaussian normal) and point deletion (using uniform sampling). The models are as follow:
+The models are based on two types of data augmentations: random noise perturbations (Gaussian normal) and point deletion (using uniform random sampling). 
+The models are as follows:
 
 
 | Model  | noise strength (%) | points removed (%) |