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Project page of the paper: "Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras"

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Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras

Official repository for Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras, by Shuang Guo, Friedhelm Hamann and Guillermo Gallego.

Method.

E2FAI: Events to Flow And Intensity

Results

DSEC dataset (640 × 480 px)

dsec

BS-ERGB dataset (970 × 625 px)

bs_ergb

Citation

If you use this work in your research, please cite it as follows:

@Article{Guo25e2fai,
  author        = {Shuang Guo and Friedhelm Hamann and Guillermo Gallego},
  title         = {Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras},
  journal       = {(under review)},
  year          = 2025
}

Code coming soon...

(under review)

Setup

High-level Input-Output

Input:

  • Events.

Output:

  • Optical flow.
  • Intensity image.

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Project page of the paper: "Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras"

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