File size: 649 Bytes
dc8aed3 26a6e3b 31d9e0f 26a6e3b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
---
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 |
|