DigitalFilm: Use a neural network to simulate film style.
This README.md is for developers and users
简体中文training model directly use cyclegan.ipynb.
But you need to download the pre-trained model of resnet18 in advance.
Prepare digital photos and film photos in two folders.
The model are included in the Release.
It is best to create an environment in conda now and then install various dependencies.
Converting digital photos to film style can be regarded as an image style conversion task. Therefore, the overall architecture adopts the cycleGAN network.
pytorch-CycleGAN-and-pix2pix
In addition, it is difficult to obtain large-scale digital photos and film-style photos, so an unsupervised approach is adopted to use unpaired data for training.
The dataset consists of dual-source image data, the main part of which is collected from high-quality digital photos taken by Xiaomi 13 Ultra mobile phone, and the rest is selected from professional HDR image dataset.
Film samples are collected from the Internet.
This project uses Git for version management. You can view the currently available version in the repository.
*You can also view all the developers involved in the project in the list of contributors. *
This project is licensed under GPLv3. For details, please refer to
LICENSE.txt
