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hit-sng-4x
XiangZ/hit-sng-4x
hit-sng-4x is a image-to-image model from XiangZ. Use it when you need one image transformed into another.
<h1 HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution </h1
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From the Hugging Face model README
<h1>
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
</h1>
<h3><a href="https://github.com/XiangZ-0/HiT-SR">[Github]</a> | <a href="https://1drv.ms/b/c/de821e161e64ce08/EVsrOr1-PFFMsXxiRHEmKeoBSH6DPkTuN2GRmEYsl9bvDQ?e=f9wGUO">[Paper]</a> | <a href="https://1drv.ms/b/c/de821e161e64ce08/EYmRy-QOjPdFsMRT_ElKQqABYzoIIfDtkt9hofZ5YY_GjQ?e=2Iapqf">[Supp]</a> | <a href="https://www.youtube.com/watch?v=9rO0pjmmjZg">[Video]</a> | <a href="https://1drv.ms/f/c/de821e161e64ce08/EuE6xW-sN-hFgkIa6J-Y8gkB9b4vDQZQ01r1ZP1lmzM0vQ?e=aIRfCQ">[Visual Results]</a> </h3>
<div></div>
HiT-SR is a general strategy to improve transformer-based SR methods. We apply our HiT-SR approach to improve SwinIR-Light, SwinIR-NG and SRFormer-Light, corresponding to our HiT-SIR, HiT-SNG, and HiT-SRF. Compared with the original structure, our improved models achieve better SR performance while reducing computational burdens.
Paper: https://huggingface.co/papers/2407.05878
🤗 Please refer to https://huggingface.co/XiangZ/hit-sr for usage.
- Task
- Image-to-Image
- Created
- Sep 15, 2024
- Updated
- Sep 24, 2024