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adapt Real-ESRGAN-anime model

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Xintao
2021-08-31 22:28:30 +08:00
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README.md
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@@ -14,11 +14,12 @@
Real-ESRGAN aims at developing **Practical Algorithms for General Image Restoration**.<br>
We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.
:art: Real-ESRGAN needs your contribution. Any contributions are welcome, such as new features/models/typo fixes/suggestions/maintenance, *etc*. See [CONTRIBUTING.md](CONTRIBUTING.md). All contributors are list [here](CONTRIBUTING.md#Contributors).
:art: Real-ESRGAN needs your contributions. Any contributions are welcome, such as new features/models/typo fixes/suggestions/maintenance, *etc*. See [CONTRIBUTING.md](CONTRIBUTING.md). All contributors are list [here](CONTRIBUTING.md#Contributors).
:question: Frequently Asked Questions can be found in [FAQ.md](FAQ.md).
:triangular_flag_on_post: **Updates**
- :white_check_mark: Add *RealESRGAN_x4plus_anime_6B.pth*, which is optimized for **anime** images with much smaller size. More details and comparisons with [waifu2x](https://github.com/nihui/waifu2x-ncnn-vulkan) are in [anime_model.md](docs/anime_model.md)
- :white_check_mark: Support finetuning on your own data or paired data (*i.e.*, finetuning ESRGAN). See [here](Training.md#Finetune-Real-ESRGAN-on-your-own-dataset)
- :white_check_mark: Integrate [GFPGAN](https://github.com/TencentARC/GFPGAN) to support **face enhancement**.
- :white_check_mark: Integrated to [Huggingface Spaces](https://huggingface.co/spaces) with [Gradio](https://github.com/gradio-app/gradio). See [Gradio Web Demo](https://huggingface.co/spaces/akhaliq/Real-ESRGAN). Thanks [@AK391](https://github.com/AK391)
@@ -62,7 +63,7 @@ Here is a TODO list in the near future:
- [ ] optimize for human faces
- [ ] optimize for texts
- [ ] optimize for anime images [in progress]
- [x] optimize for anime images
- [ ] support more scales
- [ ] support controllable restoration strength
@@ -87,7 +88,7 @@ We have provided three models:
1. realesrgan-x4plus (default)
2. realesrnet-x4plus
3. esrgan-x4
3. realesrgan-x4plus-anime (optimized for anime images, small size)
You can use the `-n` argument for other models, for example, `./realesrgan-ncnn-vulkan.exe -i input.jpg -o output.png -n realesrnet-x4plus`