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pc_denoiser
kianzohoury/pc_denoiser
pc_denoiser is a machine learning model from kianzohoury. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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 (…
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Updated Oct 26, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 25, 2024
- Updated
- Oct 26, 2024
- SHA
- 4e1c98be
Datasets
Model card
From the Hugging Face model README
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 |
- License
- mit
- Created
- Oct 25, 2024
- Updated
- Oct 26, 2024