Pith Number

pith:UXFNKFK4

pith:2026:UXFNKFK4N44ZQPMNXUGHPNPP37

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Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration

Davide Evangelista, Elena Morotti, Francesco Pivi, Maurizio Gabbrielli

LAMP improves diffusion posterior sampling by adding a lagged temporal correction from second-order discretization while preserving the posterior structure.

arxiv:2605.12573 v1 · 2026-05-12 · cs.CV · cs.AI · cs.LG

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4 Citations open

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Claims

C1strongest claim

LAMP preserves the structure of a posterior sampler and improves the reverse transition via a bias-variance trade-off, as shown by one-step risk analysis and consistent gains over DiffPIR and DDRM without increasing denoising evaluations.

C2weakest assumption

That the second-order discretization term remains stable and beneficial across the full reverse trajectory when combined with the residual correction, rather than only in the one-step analysis.

C3one line summary

LAMP adds a lagged temporal correction derived from second-order discretization to diffusion posterior samplers, yielding consistent gains over DiffPIR and DDRM on imaging tasks via a bias-variance trade-off.

References

17 extracted · 17 resolved · 0 Pith anchors

[1] Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc L. Klasky, and Jong Chul Ye. Diffusion posterior sampling for general noisy inverse problems. InInternational Conference on Learning Representatio 2023

[2] Improving diffusion models for inverse problems using manifold constraints.Advances in Neural Information Processing Systems, 35:25683–25696, 2022 2022

[3] Diffusion models beat gans on image synthesis 2021

[4] Denoising diffusion probabilistic models 2020

[5] Denoising diffusion restoration models 2022

Formal links

3 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T03:10:01.686835Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a5cad5155c6f39983d8dbd0c77b5efdfde254571adc2b154c775b384d6738f89

Aliases

arxiv: 2605.12573 · arxiv_version: 2605.12573v1 · doi: 10.48550/arxiv.2605.12573 · pith_short_12: UXFNKFK4N44Z · pith_short_16: UXFNKFK4N44ZQPMN · pith_short_8: UXFNKFK4

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UXFNKFK4N44ZQPMNXUGHPNPP37 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: a5cad5155c6f39983d8dbd0c77b5efdfde254571adc2b154c775b384d6738f89

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7f7536f882e554141971f9caad724d1918a83bf12ed1a16e32d9b1f80b2a9acc",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-12T11:38:36Z",
    "title_canon_sha256": "d9d8ed23f21443386c3f47f4271789b193c2395a2f6f0a2411141813e77b0257"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12573",
    "kind": "arxiv",
    "version": 1
  }
}