Pith Number

pith:II5NUHHO

pith:2026:II5NUHHOKPZ47BELRACMMTES5A

not attested not anchored not stored refs resolved

IG-Diff: Complex Night Scene Restoration with Illumination-Guided Diffusion Model

Chongyi Li, Chunle Guo, Fei Yin, Yifan Chen, Yujiu Yang

An illumination-guided diffusion model restores complex nighttime scenes with multiple simultaneous degradations.

arxiv:2605.14337 v1 · 2026-05-14 · cs.CV

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\pithnumber{II5NUHHOKPZ47BELRACMMTES5A}

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our model can preserve texture fidelity while contending with the adversities posed by various degradation in low-light scenarios.

C2weakest assumption

The synthetic datasets that simulate concurrent illumination degradation and other deteriorations are sufficiently representative of real-world complex night scenes to train a generalizable model.

C3one line summary

IG-Diff adds an illumination-guided module to a diffusion model and supplies new paired datasets to restore images degraded by simultaneous low light and other factors while preserving texture.

References

45 extracted · 45 resolved · 3 Pith anchors

[1] Bai, Y., Jia, H., Jiang, M., Liu, X., Xie, X., Gao, W.: Single-image blind deblurring using multi-scale latent structure prior. IEEE Trans. Circuit Syst. Video Technol. 30(7), 2033–2045 (2019) 2033

[2] Multidiffusion: Fusing diffusion paths for controlled image generation 2023

[3] Cao, M., Fan, Y., Zhang, Y., Wang, J., Yang, Y.: Vdtr: Video deblurring with transformer. IEEE Trans. Circuit Syst. Video Technol.33(1), 160–171 (2022) 2022

[4] You only need 90k parameters to adapt light: a light weight trans- former for image enhancement and exposure correction 2022

[5] Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-d transform-domain collaborative filtering. IEEE Trans. Image Process.16(8), 2080–2095 (2007) 2080

Receipt and verification

First computed	2026-05-17T23:39:08.225519Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

423ada1cee53f3cf848b8804c64c92e82b0a764da5cc7ee0322ca71da7db6559

Aliases

arxiv: 2605.14337 · arxiv_version: 2605.14337v1 · doi: 10.48550/arxiv.2605.14337 · pith_short_12: II5NUHHOKPZ4 · pith_short_16: II5NUHHOKPZ47BEL · pith_short_8: II5NUHHO

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/II5NUHHOKPZ47BELRACMMTES5A \
  | 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: 423ada1cee53f3cf848b8804c64c92e82b0a764da5cc7ee0322ca71da7db6559

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a40290004dc97f3801db1f0966565b86337cd9d0f65df483defac1904b3f059e",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T04:01:41Z",
    "title_canon_sha256": "8a7134a3430d492b4d98ac8977bab846884f3eb8da68679611e681b96f575210"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14337",
    "kind": "arxiv",
    "version": 1
  }
}