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README.md

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+title: AdaIN Style Transfer
+sdk: gradio
+emoji: 🐨
+colorFrom: blue
+colorTo: indigo
+---
 # 2022-AdaIN-pytorch
 
 This is an unofficial Pytorch implementation of the paper, `Arbitrary Style Transfer in Real-time 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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 - [Pretrained weights](https://github.com/naoto0804/pytorch-AdaIN)
 - List of all source URLs of images collected from the internet. [Image_sources.txt](https://github.com/media-comp/2022-AdaIN-pytorch/blob/main/Image_sources.txt)
 - L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann, and E. Shechtman. Controlling perceptual factors in neural style transfer. In CVPR, 2017. [arxiv](https://arxiv.org/abs/1611.07865)
-- A. Hertzmann. Algorithms for Rendering in Artistic Styles. PhD thesis, New York University, 2001.
+- A. Hertzmann. Algorithms for Rendering in Artistic Styles. PhD thesis, New York University, 2001.