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PDillis committed Mar 31, 2021
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## Additions to this repo
This README will eventually be updated to correctly show how to run the following:

* **Random interpolation video**: Run `python generate.py random-video --help` on how to run it, but usage is similar as in
[StyleGAN2](https://github.com/PDillis/stylegan2-fun#random-interpolation) (only the name changes).
* **Style mixing videos**: Run `python style_mixing.py video --help` on how to run it, but usage is similar as in
[StyleGAN2](https://github.com/PDillis/stylegan2-fun#style-mixing-video).
* **Vertical mirroring for training**: Use `--mirror-y=True` when training your model to mirror your training images along the horizontal axis.
* [**Project in W+**](https://arxiv.org/abs/1904.03189): Use `--project-in-wplus` when running `projector.py` to project in the W+ latent space.

***TODO:***

* [ ] Update this README for a better user experience
* [ ] Create multi-crop and cut-crop for fully utilizing every image in the dataset (in lieu of center-crop).
* [ ] Automatically generate classes in a dataset for training a class-conditional StyleGAN2
* [ ] Add more interpolation options ([sightseeding](https://github.com/PDillis/stylegan2-fun#sightseeding),
[circular](https://github.com/PDillis/stylegan2-fun#circular-interpolation), etc.)
* [ ] Let users train rectangular models.

## StyleGAN2-ADA — Official PyTorch implementation

![Teaser image](./docs/stylegan2-ada-teaser-1024x252.png)
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