https://github.com/cloneofsimo/e2vid_pytorch

https://github.com/cloneofsimo/e2vid_pytorch

Last synced: 21 days ago
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• Host: GitHub
• URL: https://github.com/cloneofsimo/e2vid_pytorch
• Owner: cloneofsimo
• Created: 2021-03-01T04:32:21.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2021-03-03T21:51:58.000Z (over 5 years ago)
• Last Synced: 2025-10-24T17:52:12.720Z (10 months ago)
• Language: Python
• Size: 5.63 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Trainable Event2Video Model (UnetStyle)

[![High Speed and High Dynamic Range Video with an Event Camera](http://rpg.ifi.uzh.ch/E2VID/video_thumbnail.png)](https://youtu.be/eomALySSGVU)

Original Implementation [here](http://rpg.ifi.uzh.ch/docs/TPAMI19_Rebecq.pdf).

Official Paper [here](https://github.com/uzh-rpg/rpg_e2vid)

Todo:

- Synthetic Data?

- Transformer Module (SeTR) ?

- Arbitary timeline Inference Generation ?

- Fast DataLoader

## Note

Make sure to unzip any dataset to ./data, and they have images.txt, events.txt, and images folder

Good place to start is [here](http://rpg.ifi.uzh.ch/datasets/davis/urban.zip). Unzip.