Use of an autoencoding model for denoising synthetic images
Jérôme BUISINE
b5efdd2af6
Update of ignore files from project
|
4 years ago | |
|---|---|---|
| modules | 4 years ago | |
| .gitignore | 4 years ago | |
| LICENSE | 4 years ago | |
| README.md | 4 years ago | |
| dataset | 4 years ago | |
| generate_dataset.py | 4 years ago | |
| generate_reconstructed_data.py | 4 years ago | |
| image_denoising.py | 4 years ago | |
| transformation_functions.py | 4 years ago |
README.md
Denoising with autoencoder
Description
Utilisation d'un autoencoder pour apprendre statistiquement comment il est possible de générer une image de synthèse.
Input :
- Noisy image
- Z-buffer
- Normal card
or other information...
Output :
- Reference image
How to use ?
Autoencoder keras documentation
Detailed later...