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 random sampling). The models are as follows:

Model noise strength (%) points removed (%)
pc_denoiser_1 1 0
pc_denoiser_2 1 50
pc_denoiser_3 2 0
pc_denoiser_4 2 50
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Dataset used to train kianzohoury/pc_denoiser