Mukosame/Zooming-Slow-Mo-CVPR-2020
A PyTorch implementation of a joint video frame interpolation and super-resolution model published at CVPR 2020.
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This repository contains the official implementation of Zooming Slow-Mo, a one-stage space-time video super-resolution method. It jointly performs video frame interpolation and video super-resolution using a deep learning approach built on PyTorch. The model takes low-resolution, low-frame-rate video as input and outputs high-resolution, high-frame-rate video.
Frequently asked
- What is Mukosame/Zooming-Slow-Mo-CVPR-2020?
- A PyTorch implementation of a joint video frame interpolation and super-resolution model published at CVPR 2020.
- Is Zooming-Slow-Mo-CVPR-2020 open source?
- Yes — Mukosame/Zooming-Slow-Mo-CVPR-2020 is open source, released under the GPL-3.0 license.
- What language is Zooming-Slow-Mo-CVPR-2020 written in?
- Mukosame/Zooming-Slow-Mo-CVPR-2020 is primarily written in Python.
- How popular is Zooming-Slow-Mo-CVPR-2020?
- Mukosame/Zooming-Slow-Mo-CVPR-2020 has 932 stars on GitHub.
- Where can I find Zooming-Slow-Mo-CVPR-2020?
- Mukosame/Zooming-Slow-Mo-CVPR-2020 is on GitHub at https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020.