Single Photon Challenge

Sacha Jungerman1, Atul Ingle2, Sotiris Nousias3, Mian Wei4, Mel White5, Mohit Gupta1

1University of Wisconsin - Madison, 2Portland State University, 3Purdue University,
4Carnegie Mellon University, 5US Naval Research Lab

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Welcome to the Single Photon Challenge website! Here you'll find large synthetic single photon datasets that consists of bursts of single photon camera images and their corresponding ground truth reconstructions. There is also a public leaderboard showcasing various user submitted reconstructions for this benchmark. You can directly compare submissions as well!


Teaser image
Single photon cameras are capable of detecting individual photons, making them extremely sensitive and high speed camera. However, each image they capture is extremely noisy and binary valued, being dominated by photon shot noise. Given a burst of such binary frames, how can we recover a clean, high fidelity image?

Ongoing Competition 📢

Reconstruction Competition: Consider participating in the ongoing reconstruction competition for your chance to win thousands of dollars of prizes! Up to date competition guidelines can be found here.

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Citation

If you make use of our dataset or benchmark results, please cite:

@software{Jungerman_visionsim_2025,
    author = {Jungerman, Sacha and Leblang, Max and Gupta, Shantanu and Sadekar, Kaustubh},
    license = {MIT},
    month = may,
    title = {{visionsim}},
    url = {https://github.com/WISION-Lab/visionsim},
    year = {2025}
}