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

目錄樹: 714bc0055b
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Jérôme BUISINE 714bc0055b Merge branch 'release/v0.0.2' 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 5 年之前
LICENSE a003b62672 Update of documentation 5 年之前
Makefile b89725ffd3 Add of gan for image synthesis 5 年之前
README.md a003b62672 Update of documentation 5 年之前
ganAtariImage.py b89725ffd3 Add of gan for image synthesis 5 年之前
ganSynthesisImage.py 70d4356303 try using 200 pixels images 5 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 5 年之前
tensorboard.ipynb 51f1999d4f Add of gan for 100x100 images 5 年之前

README.md

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

License

MIT