cswry / seesr

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

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Run time and cost

This model costs approximately $0.036 to run on Replicate, or 27 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 37 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Cog Implementation of cswry/SeeSR

SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

1The Hong Kong Polytechnic University, 2OPPO Research Institute, 3ByteDance Inc.

⭐ If SeeSR is helpful to your images or projects, please help star this repo. Thanks!

Acknowledgments

This project is based on diffusers and BasicSR. Some codes are brought from PASD and RAM. Thanks for their awesome works. We also pay tribute to the pioneering work of StableSR.

Citations

If our code helps your research or work, please consider citing our paper. The following are BibTeX references:

@article{wu2023seesr,
  title={SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution},
  author={Wu, Rongyuan and Yang, Tao and Sun, Lingchen and Zhang, Zhengqiang and Li, Shuai and Zhang, Lei},
  journal={arXiv preprint arXiv:2311.16518},
  year={2023}
}