update news (NAFSSR re-organize)
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@ -28,7 +28,9 @@ The official pytorch implementation of the paper **[Simple Baselines for Image R
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### News
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**2022.07.03** Our paper is accepted by **ECCV2022** :tada:
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**2022.04.15** NAFNet based Stereo Image Super-Resolution solution ([NAFSSR](https://arxiv.org/abs/2204.08714)) won the **1st place** on the NTIRE 2022 Stereo Image Super-resolution Challenge! Training/Evaluation instructions see [here](https://github.com/megvii-research/NAFNet/blob/main/docs/StereoSR.md). [Presentation video](https://drive.google.com/file/d/16w33zrb3UI0ZIhvvdTvGB2MP01j0zJve/view), [slides](https://data.vision.ee.ethz.ch/cvl/ntire22/slides/Chu_NAFSSR_slides.pdf) and [poster](https://data.vision.ee.ethz.ch/cvl/ntire22/posters/Chu_NAFSSR_poster.pdf) are available now.
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**2022.06.19** [NAFSSR](https://arxiv.org/abs/2204.08714) (as a challenge winner) is selected for an ORAL presentation at CVPR 2022, NTIRE workshop :tada: [Presentation video](https://drive.google.com/file/d/16w33zrb3UI0ZIhvvdTvGB2MP01j0zJve/view), [slides](https://data.vision.ee.ethz.ch/cvl/ntire22/slides/Chu_NAFSSR_slides.pdf) and [poster](https://data.vision.ee.ethz.ch/cvl/ntire22/posters/Chu_NAFSSR_poster.pdf) are available now.
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**2022.04.15** NAFNet based Stereo Image Super-Resolution solution ([NAFSSR](https://arxiv.org/abs/2204.08714)) won the **1st place** on the NTIRE 2022 Stereo Image Super-resolution Challenge! Training/Evaluation instructions see [here](https://github.com/megvii-research/NAFNet/blob/main/docs/StereoSR.md).
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### Installation
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This implementation based on [BasicSR](https://github.com/xinntao/BasicSR) which is a open source toolbox for image/video restoration tasks and [HINet](https://github.com/megvii-model/HINet)
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