Paper Citation Record · LEDGER

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

As of 22 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 9 inbound Pith citation observations for arXiv:2505.06683.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.06683 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:23.257684Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:53:15.969612Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T15:12:37.453127Z

Reference resolution

77 of 77 outbound references displayed

verified exact1
verified fuzzy71
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2928cd8f-4d7a-477c-bb81-a327cea97e97 · outbound

This paper cites Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.492679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8bf32a1c-7eb1-4d53-83f1-51762cb3c1a8 · outbound

This paper cites Underwater ranker: Learn which is better and how to be better.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Underwater ranker: Learn which is better and how to be better

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.481104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f015c53-f654-442e-aea2-01383c0ef52f · outbound

This paper cites Iterative prompt learning for unsupervised backlit image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Iterative prompt learning for unsupervised backlit image enhancement

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.471177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 073d8fc6-5a76-490e-b80c-218a569324a6 · outbound

This paper cites Hqg-net: Unpaired medical image enhancement with high-quality guidance.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Hqg-net: Unpaired medical image enhancement with high-quality guidance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.460113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5f2be04d-40e4-45b5-9766-1f7aca982930 · outbound

This paper cites A weighted variational model for simultaneous reflectance and illumination estimation.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration A weighted variational model for simultaneous reflectance and illumination estimation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.448579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a345f861-9891-4bd1-b222-824eace4320f · outbound

This paper cites The gamma transform: A local time-frequency analysis method.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration The gamma transform: A local time-frequency analysis method

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.437323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6dd9bbc-22f1-4247-b440-f3eb89006ebc · outbound

This paper cites Enlightengan: Deep light enhancement without paired supervision.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Enlightengan: Deep light enhancement without paired supervision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.426022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8c0d197-8d09-4835-8e79-f8f95ff13a65 · outbound

This paper cites Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Diff-retinex: Rethinking low-light image enhancement with a generative diffusion model

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.414624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 322b9211-de7e-43c9-9d12-6e5de1911871 · outbound

This paper cites Uretinex- net: Retinex-based deep unfolding network for low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Uretinex- net: Retinex-based deep unfolding network for low-light image enhancement

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.402339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9cc613b-9d7a-4666-a143-f1325200892d · outbound

This paper cites Empowering low-light image enhancer through customized learnable priors.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Empowering low-light image enhancer through customized learnable priors

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.391139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8472a66d-74ad-48bc-b3d8-205f1f9cf0dd · outbound

This paper cites A simple and effective histogram equalization approach to image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration A simple and effective histogram equalization approach to image enhancement

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.379821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 026d670f-496d-411b-80a8-1f204c557118 · outbound

This paper cites Image threshold segmentation based on glle histogram.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Image threshold segmentation based on glle histogram

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.368130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44337c51-63d3-47e3-9ad7-9769d183cef3 · outbound

This paper cites Efficient contrast enhancement using adaptive gamma correction with weighting distribution.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Efficient contrast enhancement using adaptive gamma correction with weighting distribution

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.356754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7fd5c6f-d424-43da-bccf-3c6c39cc3c87 · outbound

This paper cites Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.345915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fa234067-f455-4960-9b0d-3f2f6392c357 · outbound

This paper cites Structure-revealing low-light image enhancement via robust retinex model.IEEE Transactions on Image Processing, 27(6):2828–2841, 2018.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Structure-revealing low-light image enhancement via robust retinex model.IEEE Transactions on Image Processing, 27(6):2828–2841, 2018

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.334769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e9524e4-4eed-4e29-81e8-8e360cf6dd96 · outbound

This paper cites Underexposed photo enhancement using deep illumination estimation.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Underexposed photo enhancement using deep illumination estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.323589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1947600b-d89b-442d-8bfd-262c2151d4d3 · outbound

This paper cites Dm-fusion: Deep model- driven network for heterogeneous image fusion.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Dm-fusion: Deep model- driven network for heterogeneous image fusion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.311858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 226fd802-6a56-4199-8138-9bb14ed6407b · outbound

This paper cites Degradation-resistant unfolding network for heterogeneous image fusion.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Degradation-resistant unfolding network for heterogeneous image fusion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.299348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bebfd057-6ccf-4e72-abd8-7f43de633dda · outbound

This paper cites Scale-space and edge detection using anisotropic diffusion.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Scale-space and edge detection using anisotropic diffusion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.287579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef233a96-cdc8-4739-bb35-ab41ba1418c9 · outbound

This paper cites A 3x3 isotropic gradient operator for image processing.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration A 3x3 isotropic gradient operator for image processing

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.275195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f73aee1-26df-4013-ab24-6e841ddf5ec7 · outbound

This paper cites Real-world image dehazing with coherence-based label generator and cooperative unfolding network.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Real-world image dehazing with coherence-based label generator and cooperative unfolding network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.264054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2efdae3b-e2eb-412b-8115-8fc6697a60db · outbound

This paper cites Vmamba: Visual state space model.NeurIPS, 37:103031–103063,.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Vmamba: Visual state space model.NeurIPS, 37:103031–103063,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.252643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0fe4bffc-94d0-4b18-a20a-9e4e83cd9d36 · outbound

This paper cites A proposal on machine learning via dynamical systems.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration A proposal on machine learning via dynamical systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.240298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43ab14b5-1c37-40b2-86c1-51cf09cd5cf2 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Uformer: A general u-shaped transformer for image restoration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.228657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3bcbb23-dd26-48cc-a126-13d97ba85c2f · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.217477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb3a35ad-99f5-4df5-b781-357447073e92 · outbound

This paper cites Snr-aware low-light image enhance- ment.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Snr-aware low-light image enhance- ment

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.206210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 422bfae4-859e-4311-99b9-d59801f6c242 · outbound

This paper cites Low-light image enhancement via structure modeling and guidance.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Low-light image enhancement via structure modeling and guidance

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.195069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ae03256-4298-466c-a15e-e268f2372cbe · outbound

This paper cites Low- light image enhancement with multi-stage residue quantization and brightness-aware attention.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Low- light image enhancement with multi-stage residue quantization and brightness-aware attention

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.183514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a96ce150-8271-43ae-9a4b-0b9d3c95b4d0 · outbound

This paper cites Low-light image enhancement with illumination-aware gamma correction and complete image modelling network.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Low-light image enhancement with illumination-aware gamma correction and complete image modelling network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.172067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b4b46b0-9b00-4b01-bee1-a011ca510557 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Diffir: Efficient diffusion model for image restoration

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.160571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e25757d-6b52-4016-891a-e88c713dcd64 · outbound

This paper cites Global structure-aware diffusion process for low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Global structure-aware diffusion process for low-light image enhancement

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.148954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8e31cff-1907-4eb5-898e-ebb1d604e543 · outbound

This paper cites Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.137885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf0737af-8376-4d90-977c-4a5cfaf594ad · outbound

This paper cites Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:22.525041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97be473f-54ae-45a5-a20f-31b02e8cde59 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Mambair: A simple baseline for image restoration with state-space model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.125936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af6ffdb6-f602-43f3-a79c-f26ff15e232b · outbound

This paper cites Mamballie: Implicit retinex-aware low light enhancement with global-then-local state space.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Mamballie: Implicit retinex-aware low light enhancement with global-then-local state space

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.114700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 18a5a876-d56f-4a74-9965-40211cf93365 · outbound

This paper cites You only need one color space: An efficient network for low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration You only need one color space: An efficient network for low-light image enhancement

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.103205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f3f4ddf-85e9-4832-bf24-6c2b91c69076 · outbound

This paper cites Shallow-uwnet: Compressed model for underwater image enhancement (student abstract).

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Shallow-uwnet: Compressed model for underwater image enhancement (student abstract)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.089756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 716fcf35-d33c-4340-8150-2288d42de444 · outbound

This paper cites Uncertainty inspired underwater image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Uncertainty inspired underwater image enhancement

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.078374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7c1809b0-e764-45c1-a1e9-6e00819d0153 · outbound

This paper cites U-shape transformer for underwater image enhance- ment.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration U-shape transformer for underwater image enhance- ment

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.067069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 831be94d-fc92-48f2-8a14-053f2122ffc4 · outbound

This paper cites Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.054966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf664de5-b4da-4b47-8997-a8a8ee63a427 · outbound

This paper cites Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Underwater camera: Improving visual perception via adaptive dark pixel prior and color correction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.041841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c947714-0e20-4ee9-840d-5ed17f5356c6 · outbound

This paper cites Rave: Residual vector embedding for clip-guided backlit image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Rave: Residual vector embedding for clip-guided backlit image enhancement

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.028124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f247dea-067b-43c7-85a8-f65512a3dedc · outbound

This paper cites Toward fast, flexible, and robust low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Toward fast, flexible, and robust low-light image enhancement

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.016477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f72efc76-fcff-4c7f-86b1-c72c9567e8a9 · outbound

This paper cites Learning enriched features for fast image restoration and enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Learning enriched features for fast image restoration and enhancement

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:24.004681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92a1c490-149a-4806-8b8f-9247511f72f3 · outbound

This paper cites Fourllie: Boosting low-light image enhancement by fourier frequency information.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Fourllie: Boosting low-light image enhancement by fourier frequency information

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.992603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e7c7359-1e30-4794-8ae5-ba5fde702709 · outbound

This paper cites Implicit neural represen- tation for cooperative low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Implicit neural represen- tation for cooperative low-light image enhancement

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.980114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b2018bd-579a-4598-919d-24b8229015cf · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Deep Retinex Decomposition for Low-Light Enhancement

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:22.840321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 099a8459-a9b1-4ee0-bbe5-3d2763c972f2 · outbound

This paper cites Sparse gradient regularized deep retinex network for robust low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Sparse gradient regularized deep retinex network for robust low-light image enhancement

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:22.844832Z

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Observation ad90ece4-8580-4682-907c-86e895bf613e · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.961786Z

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Observation d53a069b-86ab-4a69-bff8-393f5f086f05 · outbound

This paper cites A two-step framework for constructing blind image quality indices.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration A two-step framework for constructing blind image quality indices

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.950341Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1de3bbf-fd5f-4356-a05c-dbfdaf956c59 · outbound

This paper cites An underwater image enhancement benchmark dataset and beyond.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration An underwater image enhancement benchmark dataset and beyond

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.938477Z

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Observation ce6855c0-5185-4147-b493-032ce2e9f15b · outbound

This paper cites An underwater color image quality evaluation metric.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration An underwater color image quality evaluation metric

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.927042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1d3d0c29-a58b-4045-b119-f134662381d3 · outbound

This paper cites Human-visual-system-inspired underwater image quality measures.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Human-visual-system-inspired underwater image quality measures

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.915353Z

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Observation 21dd80ce-f7fd-420a-9d7b-83da21606b9a · outbound

This paper cites Backlitnet: A dataset and network for backlit image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Backlitnet: A dataset and network for backlit image enhancement

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.903407Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9615298-92dd-49a6-8315-acb3774e8686 · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.892201Z

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Observation f8e2a330-f1b8-4ef7-95a6-1a58d2f2b7cb · outbound

This paper cites Exploring clip for assessing the look and feel of images.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Exploring clip for assessing the look and feel of images

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.881003Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation edd6a62b-e3e0-4a4e-b970-0ac9241fb04d · outbound

This paper cites Contrast enhancement based on layered difference representation of 2d histograms.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Contrast enhancement based on layered difference representation of 2d histograms

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.869079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23f262fb-c7b6-48fc-9501-eeef955932b3 · outbound

This paper cites Lime: Low-light image enhancement via illumination map estimation.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Lime: Low-light image enhancement via illumination map estimation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.856366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5511ae2-4557-4452-a7d3-4927490fcb22 · outbound

This paper cites Naturalness preserved enhancement algorithm for non-uniform illumination images.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Naturalness preserved enhancement algorithm for non-uniform illumination images

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.843609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b7987926-d96c-4233-893e-733539f44273 · outbound

This paper cites Diffusion Models in Low-Level Vision: A Survey.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Diffusion Models in Low-Level Vision: A Survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:23.063334Z

Source-reported events for the cited work

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Observation f5fe86fb-07e8-4481-882c-3b9693fa568e · outbound

This paper cites You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T22:41:23.130051Z

Source-reported events for the cited work

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Observation 29d55d47-ab35-4579-9d8f-6ba02009fdde · outbound

This paper cites The 2018 pirm challenge on perceptual image super-resolution.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration The 2018 pirm challenge on perceptual image super-resolution

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.831390Z

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Observation b1849aca-5f01-46eb-981d-f05b9d978778 · outbound

This paper cites completely blind.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration completely blind

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.819747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eec9a8fd-e681-4b36-a665-c1f0df4e8364 · outbound

This paper cites Beyond brightening low-light images.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Beyond brightening low-light images

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.807842Z

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Observation 6a52fbe4-9fd7-4332-bff8-e7b96502df01 · outbound

This paper cites Deep color consistent network for low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Deep color consistent network for low-light image enhancement

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.795415Z

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Observation a627b607-b6db-42a4-8844-eb14e9ac76c9 · outbound

This paper cites Embeddingfourier for ultra-high-definition low-light image enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Embeddingfourier for ultra-high-definition low-light image enhancement

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.720017Z

Source-reported events for the cited work

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Observation 19ee8ac0-45c5-47fb-ba0a-79b59dd41ace · outbound

This paper cites Learning a simple low-light image enhancer from paired low-light instances.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Learning a simple low-light image enhancer from paired low-light instances

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.693128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 117b7778-9c67-4297-bd83-5adfb7647678 · outbound

This paper cites Generative diffusion prior for unified image restoration and enhancement.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Generative diffusion prior for unified image restoration and enhancement

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.680096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7daa1d6b-a493-4bba-bb41-364e8c74157b · outbound

This paper cites Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Lightendiffusion: Unsupervised low-light image enhancement with latent-retinex diffusion models

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.650190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c59c451-f1a2-471e-8f16-ada8bb329d98 · outbound

This paper cites Learning temporal consistency for low light video enhancement from single images.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Learning temporal consistency for low light video enhancement from single images

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.597770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04f28aa3-275c-4c63-a4c6-681d701de498 · outbound

This paper cites Getting to know low-light images with the exclusively dark dataset.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Getting to know low-light images with the exclusively dark dataset

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.585801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe51d23d-0d9a-40e5-bd7d-41f8b6ae815c · outbound

This paper cites The pascal visual object classes (voc) challenge.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration The pascal visual object classes (voc) challenge

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.571588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7bbaae81-68cb-4217-a267-ee3bd010413c · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Masked-attention mask transformer for universal image segmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.558459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b426884-4ca0-459c-a004-5afc7be2eef9 · outbound

This paper cites Concealed object detection.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Concealed object detection

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.529847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eaddcf8f-d269-4c01-8867-115aed285827 · outbound

This paper cites Run: Reversible unfolding network for concealed object segmentation.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Run: Reversible unfolding network for concealed object segmentation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.388656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2af7dd12-d8e9-4da6-8c4c-37fbf1472c3f · outbound

This paper cites Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:41:23.298000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e86007d-e85f-47c9-9fe5-dc8edc0298ee · outbound

This paper cites U” denotes our UnfoldIR and the suffix “-.

UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration U” denotes our UnfoldIR and the suffix “-

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:41:23.356349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation f183d66e-6914-4561-bfe5-288e9625febe · inbound

Segment Concealed Objects with Incomplete Supervision cites this paper.

Segment Concealed Objects with Incomplete Supervision UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:57.710229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6157d0f3-eaca-4573-8466-9bf2ad57c516 · inbound

Towards Universal Modal Tracking with Online Dense Temporal Token Learning cites this paper.

Towards Universal Modal Tracking with Online Dense Temporal Token Learning UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-15T17:53:15.969612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d9d842-2cc4-4a65-8d71-f6f71d89d138 · inbound

Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Tracking cites this paper.

Exploring Decoupled Spatio-Temporal Consistency Learning and Self-Prompting Evolution for Self-Supervised Tracking UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T12:41:51.316879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a656e7be-ba19-4489-b321-b5b6d30d0dac · inbound

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment cites this paper.

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:20.727382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f84d4bd0-2592-49ce-9b63-184056a30dc6 · inbound

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement cites this paper.

Reversible Unfolding Network for Concealed Visual Perception with Generative Refinement UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T18:16:37.994325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49e3a3e-18d6-4134-861d-062a95eab542 · inbound

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration cites this paper.

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:49:08.138486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5869b4ec-dc3f-424b-9341-7ce72cc18648 · inbound

Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration cites this paper.

Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:08:28.731737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a7c1694-08d1-4f61-aed1-1297c5f5ccae · inbound

ZeroIDIR: Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion Models cites this paper.

ZeroIDIR: Zero-Reference Illumination Degradation Image Restoration with Perturbed Consistency Diffusion Models UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:03.949658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4754a6b1-5357-471d-b250-0d5047e34c0e · inbound

RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects cites this paper.

RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:12:37.455109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.