CalvinBackup/neuralchen-SimSwap
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chenxuanhong
2022-04-22 01:53:01 +08:00
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*Our method can realize **arbitrary face swapping** on images and videos with **one single trained model**.*
Training and test code are now available! [Colab demo](https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/train.ipynb)
Training and test code are now available!
[ <a href="https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/train.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>](https://colab.research.google.com/github/neuralchen/SimSwap/blob/main/train.ipynb)
We are working with our incoming paper SimSwap++, keeping expecting!
@@ -26,6 +27,8 @@ If you find this project useful, please star it. It is the greatest appreciation
## Top News <img width=8% src="./docs/img/new.gif"/>
**`2022-04-21`**: For resource limited users, we provide the cropped VGGFace2-224 dataset [VGGFace2-224 (10.8G)](https://drive.google.com/file/d/19pWvdEHS-CEG6tW3PdxdtZ5QEymVjImc/view?usp=sharing).
**`2022-04-20`**: Training scripts are now available. We highly recommend that you guys train the simswap model with our released high quality dataset [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ).
**`2021-11-24`**: We have trained a beta version of ***SimSwap-HQ*** on [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) and open sourced the checkpoint of this model (if you think the Simswap 512 is cool, please star our [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ) repo). Please don’t forget to go to [Preparation](./docs/guidance/preparation.md) and [Inference for image or video face swapping](./docs/guidance/usage.md) to check the latest set up.
@@ -65,7 +68,7 @@ Download the dataset from [VGGFace2-HQ](https://github.com/NNNNAI/VGGFace2-HQ).
The training script is slightly different from the original version, e.g., we replace the patch discriminator with the projected discriminator, which saves a lot of hardware overhead and achieves slightly better results.
In order to ensure normal training, the batch size must be greater than 1.
- Train 224 models with VGGFace2 224*224 [VGGFace2-224](https://github.com/NNNNAI/VGGFace2-HQ)
- Train 224 models with VGGFace2 224*224 [VGGFace2-224 (10.8G)](https://drive.google.com/file/d/19pWvdEHS-CEG6tW3PdxdtZ5QEymVjImc/view?usp=sharing)
```
python train.py --name simswap224_test --batchSize 4 --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep False
```