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.
Authors
- Stanley H. Chan (ORCID: https://orcid.org/0000-0001-5876-2073)
- Prateek Chennuri
- Dongdong Fu
Institutions
- Purdue University West Lafayette (US)
- Dolby (United States) (US)
Publication Details
- 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
Funders
- National Science Foundation