Use of GAN approach in order to generate monte carlo noise applied on synthesis images

Jérôme BUISINE 714bc0055b Merge branch 'release/v0.0.2'		преди 5 години
synthesis_images	6901223dae Update of data; Save and load option added	преди 5 години
.gitignore	a003b62672 Update of documentation	преди 5 години
Dockerfile	b89725ffd3 Add of gan for image synthesis	преди 5 години
LICENSE	a003b62672 Update of documentation	преди 5 години
Makefile	b89725ffd3 Add of gan for image synthesis	преди 5 години
README.md	a003b62672 Update of documentation	преди 5 години
ganAtariImage.py	b89725ffd3 Add of gan for image synthesis	преди 5 години
ganSynthesisImage.py	70d4356303 try using 200 pixels images	преди 5 години
ganSynthesisImage_100.py	51f1999d4f Add of gan for 100x100 images	преди 5 години
ganSynthesisImage_200.py	6901223dae Update of data; Save and load option added	преди 5 години
noise_gan.ipynb	51f1999d4f Add of gan for 100x100 images	преди 5 години
prepare_data.py	6901223dae Update of data; Save and load option added	преди 5 години
requirements.txt	b89725ffd3 Add of gan for image synthesis	преди 5 години
tensorboard.ipynb	51f1999d4f Add of gan for 100x100 images	преди 5 години

Noise Generation

Description

Study of how to generate noise filter from monte carlo rendering in synthesis images using Generative Adversarial Network approach. The aim of this project is to reproduce monte carlo noise obtained during rendering.

How to use ?

pip install -r requirements.txt

python prepare_data.py

python ganSynthesisImage_200.py

Contributors

jbuisine

License

MIT

README.md

Noise Generation

Description

How to use ?

Contributors

License