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license: apache-2.0 |
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--- |
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# [CVPR2024 Oral] Image Processing GNN: Breaking Rigidity in Super-Resolution |
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<p align="left"> |
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<a href="https://openaccess.thecvf.com/content/CVPR2024/papers/Tian_Image_Processing_GNN_Breaking_Rigidity_in_Super-Resolution_CVPR_2024_paper.pdf" alt="arXiv"> |
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Paper</a> | |
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<a href="https://ipgnn.github.io" alt="arXiv"> |
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Project Page</a> | |
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<a href="https://openaccess.thecvf.com/content/CVPR2024/html/Tian_Image_Processing_GNN_Breaking_Rigidity_in_Super-Resolution_CVPR_2024_paper.html" alt="arXiv"> |
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<img src="https://img.shields.io/badge/CVPR'24-Oral-b31b31b.svg?style=flat" /></a> |
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<a href="https://huggingface.co/yuchuantian/IPG/tree/main" alt="Hugging Face Models"> |
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<img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Models-blue" /></a> |
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</p> |
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This is the official repo of our CVPR'24 paper **Image Processing GNN: Breaking Rigidity in Super-Resolution**. In the paper, we propose IPG: a Graph-based SR model that achieves outstanding performance on various SR benchmarks. |
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## News |
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7/6/2024: We opensourced the code & weights of IPG! |
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6/19/2024: Our work got the **Best Student Runner-up Award** of CVPR'24!🎉🎉 |
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6/2/2024: We open-sourced [U-DiT](https://github.com/YuchuanTian/U-DiT), an efficient U-Net-style DiT variant. |
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## Weights & Visual Results |
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| Model | Scale | Urban100 | Weights | Visual Results | |
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| ----- | ----- | -------- | ------------------------------------------------------------ | ------------------------------------------------------------ | |
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| IPG | 2x | 34.48 | [🤗Link](https://huggingface.co/yuchuantian/IPG/blob/main/IPG_SRx2.pth) | [🤗Link](https://huggingface.co/yuchuantian/IPG/blob/main/IPG_srx2.zip) | |
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| IPG | 3x | 30.36 | [🤗Link](https://huggingface.co/yuchuantian/IPG/blob/main/IPG_SRx3.pth) | [🤗Link](https://huggingface.co/yuchuantian/IPG/blob/main/IPG_srx3.zip) | |
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| IPG | 4x | 28.13 | [🤗Link](https://huggingface.co/yuchuantian/IPG/blob/main/IPG_SRx4.pth) | [🤗Link](https://huggingface.co/yuchuantian/IPG/blob/main/IPG_srx4.zip) | |
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