sczhou / upscale-a-video

Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

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Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

Upscale-A-Video is a diffusion-based model that upscales videos by taking the low-resolution video and text prompts as inputs.

🎬 Overview

overall_structure

📑 Citation

If you find our repo useful for your research, please consider citing our paper:

   @inproceedings{zhou2024upscaleavideo,
      title={{Upscale-A-Video}: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution},
      author={Zhou, Shangchen and Yang, Peiqing and Wang, Jianyi and Luo, Yihang and Loy, Chen Change},
      booktitle={CVPR},
      year={2024}
   }

📝 License

This project is licensed under NTU S-Lab License 1.0. Redistribution and use should follow this license.

📧 Contact

If you have any questions, please feel free to reach us at shangchenzhou@gmail.com or peiqingyang99@outlook.com.