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@@ -4,7 +4,7 @@ This project is the implement of [Real-Time Intermediate Flow Estimation for Vid
**2022.7.4 - Our paper is accepted by ECCV2022 🎉. Thanks to all relevant authors, contributors and users!**
From 2020 to 2022, RIFE has submitted five submissions（rejected by CVPR21 ICCV21 AAAI22 CVPR22). Thanks to all anonymous reviewers, your suggestions have helped to significantly improve the paper! The latest version can be found on arXiv.
From 2020 to 2022, RIFE has submitted five submissions（rejected by CVPR21 ICCV21 AAAI22 CVPR22). Thanks to all anonymous reviewers, your suggestions have helped to significantly improve the paper!
## [YouTube](https://www.youtube.com/results?search_query=rife+interpolation&sp=CAM%253D) | [BiliBili](https://search.bilibili.com/all?keyword=SVFI&order=stow&duration=0&tids_1=0) | [Colab](https://colab.research.google.com/github/hzwer/ECCV2022-RIFE/blob/main/Colab_demo.ipynb) | [Tutorial](https://www.youtube.com/watch?v=gf_on-dbwyU&feature=emb_title)
@@ -71,6 +71,10 @@ python3 inference_video.py --video=video.mp4 --montage --png
```
(if you want to montage the origin video and save the png format output)
**Optical Flow Estimation**
You may refer to [#278](https://github.com/megvii-research/ECCV2022-RIFE/issues/278#event-7199085190).
**Image Interpolation**
```