{
  "annotation_id": "a1f37671-6198-4c99-ae03-26d09a590402",
  "date_created": "2026-02-17T05:53:11.896000Z",
  "date_modified": "2026-02-17T05:53:11.896000Z",
  "file_hash": "707fa36709ac4d680cfa5eb98830efd0cb061a8e4dc39fb406abc15283e357ca",
  "private": false,
  "record": {
    "abstract": "We derive the likelihood of a raw signal in a single photon avalanche diode (SPAD), given a fixed photon flux. The raw signal comprises timing of detection events, which are nonlinearly related to the flux. Moreover, they are naturally stochastic. We then derive a score function of the signal. This is a key for solving inverse problems based on SPAD signals. We focus on deriving solutions involving a diffusion model, to express image priors. We demonstrate the effect of low or high photon counts, and the consequence of exploiting timing of detection events.",
    "arxiv_id": "2601.07599",
    "authors": [
      "Lior Dvir",
      "Nadav Torem",
      "Yoav Y. Schechner"
    ],
    "categories": [
      "cs.CV"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Diffusion in SPAD Signals",
    "url": "https://arxiv.org/abs/2601.07599",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "bd600f9f-22b8-4ddf-b8b6-099791b739d6",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}