---
license: mit
datasets:
- ShapeNet/ShapeNetCore
title: Transformer-Based Point Cloud Denoising/Completion Models
---

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   |