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

Jérôme BUISINE 17dce75e75 Merge tag 'v0.0.2' into develop		5 年之前
synthesis_images	6901223dae Update of data; Save and load option added	5 年之前
.gitignore	a003b62672 Update of documentation	5 年之前
Dockerfile	b89725ffd3 Add of gan for image synthesis	6 年之前
LICENSE	a003b62672 Update of documentation	5 年之前
Makefile	b89725ffd3 Add of gan for image synthesis	6 年之前
README.md	a003b62672 Update of documentation	5 年之前
ganAtariImage.py	b89725ffd3 Add of gan for image synthesis	6 年之前
ganSynthesisImage.py	70d4356303 try using 200 pixels images	6 年之前
ganSynthesisImage_100.py	51f1999d4f Add of gan for 100x100 images	5 年之前
ganSynthesisImage_200.py	6901223dae Update of data; Save and load option added	5 年之前
noise_gan.ipynb	51f1999d4f Add of gan for 100x100 images	5 年之前
prepare_data.py	6901223dae Update of data; Save and load option added	5 年之前
requirements.txt	b89725ffd3 Add of gan for image synthesis	6 年之前
tensorboard.ipynb	51f1999d4f Add of gan for 100x100 images	5 年之前

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