Chengkai Yang
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README.md
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2022-AdaIN-pytorch
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This is an unofficial Pytorch implementation of the paper, `Style Transfer with Adaptive Instance Normalization` [arxiv](https://arxiv.org/abs/1703.06868). I referred to the [official implementation](https://github.com/xunhuang1995/AdaIN-style) in Torch. I used pretrained weights of vgg19 and decoder from [naoto0804](https://github.com/naoto0804/pytorch-AdaIN).
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Requirements
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optional arguments:
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-h, --help show this help message and exit
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--
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single content video file
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--style_image STYLE_IMAGE
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single style image
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2022-AdaIN-pytorch
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============================
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This is an unofficial Pytorch implementation of the paper, `Style Transfer with Adaptive Instance Normalization, ICCV 2017` [arxiv](https://arxiv.org/abs/1703.06868). I referred to the [official implementation](https://github.com/xunhuang1995/AdaIN-style) in Torch. I used pretrained weights of vgg19 and decoder from [naoto0804](https://github.com/naoto0804/pytorch-AdaIN).
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Requirements
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----------------------------
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optional arguments:
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-h, --help show this help message and exit
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--content_video CONTENT_IMAGE
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single content video file
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--style_image STYLE_IMAGE
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single style image
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