Quanta Diffusion

We present Quanta Diffusion (QuDi), a powerful generative video reconstruction method for single-photon imaging. QuDI is an algorithm supporting the latest Quanta Image Sensors (QIS) and Single Photon Avalanche Diodes (SPADs) for extremely low-light imaging conditions. Compared to existing methods, QuDi overcomes the difficulties of simultaneously managing the motion and the strong shot noise. The core innovation of QuDi is to inject a physics-based forward model into the diffusion algorithm, while keeping the motion estimation in the loop. QuDi demonstrates an average of 2.4 dB PSNR improvement over the best existing methods.

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Published
2025-08-18
DOI
https://doi.org/10.1109/icip55913.2025.11084414
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Quanta Diffusion

Stanley H. Chan, Prateek Chennuri, Dongdong Fu
Quantum Mechanics and Applications
article

Quanta Diffusion

Stanley H. Chan, Prateek Chennuri, Dongdong Fu
article en

Abstract

We present Quanta Diffusion (QuDi), a powerful generative video reconstruction method for single-photon imaging. QuDI is an algorithm supporting the latest Quanta Image Sensors (QIS) and Single Photon Avalanche Diodes (SPADs) for extremely low-light imaging conditions. Compared to existing methods, QuDi overcomes the difficulties of simultaneously managing the motion and the strong shot noise. The core innovation of QuDi is to inject a physics-based forward model into the diffusion algorithm, while keeping the motion estimation in the loop. QuDi demonstrates an average of 2.4 dB PSNR improvement over the best existing methods.

Purdue University West Lafayette (US), Dolby (United States) (US)
National Science Foundation
Openalex Percentile: Top 84%
Quantum Mechanics and Applications
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