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Paper Citation Record · LEDGER

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model

As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.14630.

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

pith.paper-citation-record.v1
2412.14630 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:07:02.037424Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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  • verified fuzzy49
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4358b66d-6387-43bb-bc46-cc2ca8c910ca · outbound

This paper cites Simple baselines for image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Simple baselines for image restoration

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b01004e7-e4cd-48b4-92b4-ca6dd24c67c8 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Pugan: Physical model-guided underwater image enhancement using gan with dual-discriminators

Reference 2

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Source-reported events for the cited work

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Observation 28a372b1-415e-4e89-a2d0-8e552b72d9e0 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Generative diffusion prior for unified image restoration and enhancement

Reference 3

Resolution
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Observation 2a676960-cb8d-476a-9a4b-6efeafe2ee82 · outbound

This paper cites Unsu- pervised underwater image restoration: From a homology perspective.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Unsu- pervised underwater image restoration: From a homology perspective

Reference 4

Resolution
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Source-reported events for the cited work

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Observation ce46ca70-6fae-456a-9344-2d7778614900 · outbound

This paper cites Uncertainty inspired underwater image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Uncertainty inspired underwater image enhancement

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ae447067-e1a9-4454-90a4-2819d49fdcd9 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Lime: Low-light image enhancement via illumination map estimation

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6cc96847-de26-4f9d-b09a-54e4f1e69904 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 61e31909-5656-4d23-afea-15956f608b03 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Global structure-aware diffusion process for low-light image enhancement

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 952c88e6-1c2a-4564-9b95-31754b542b09 · outbound

This paper cites Contrastive semi-supervised learning for underwater image restoration via reliable bank.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Contrastive semi-supervised learning for underwater image restoration via reliable bank

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d34e6519-9937-4bc0-9470-38361c2f171a · outbound

This paper cites Wavedm: Wavelet-based diffusion models for image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Wavedm: Wavelet-based diffusion models for image restoration

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 34858f29-4f69-4291-9f7b-fa9deb97fe5d · outbound

This paper cites Low-light image enhancement with wavelet-based diffusion models.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Low-light image enhancement with wavelet-based diffusion models

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b0061d9c-6cf9-4266-b075-50f58df55443 · outbound

This paper cites LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ad8b2c0-d79c-4acd-8afd-709f80e136fe · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Musiq: Multi-scale image quality transformer

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 81256156-9cd7-46e2-aaeb-709c26f18e5a · outbound

This paper cites Contrast enhancement based on layered difference repre- sentation of 2d histograms.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Contrast enhancement based on layered difference repre- sentation of 2d histograms

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.847108Z digest=sha256:7e257a9fe0baa8d55aab8e4f9c69378dd0d3589fd37cfdc90487c84647a0e30f

Observation 7a8b5023-4375-4f3d-9bcd-e33c26fd1279 · outbound

This paper cites All-in-one image restoration for unknown corruption.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model All-in-one image restoration for unknown corruption

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a0be2f77-386b-4e40-9507-86b543cde01e · outbound

This paper cites Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0017bbd-447a-4459-8388-c52205fe5dac · outbound

This paper cites Learning degradation representations for image deblurring.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Learning degradation representations for image deblurring

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 79fd89ec-1f7f-4bfd-8f22-e85f36e5c14d · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Iterative prompt learning for unsupervised backlit image enhancement

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 00fbc6ec-22e1-49a1-991d-21772d22b7d1 · outbound

This paper cites Twin adversarial contrastive learning for underwater image enhancement and beyond.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Twin adversarial contrastive learning for underwater image enhancement and beyond

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 12c80019-4783-4a6d-be9d-466d9658351c · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 72ff7a3b-44d3-4a50-bf5d-714e4fc4d84b · outbound

This paper cites Image restoration with mean-reverting stochastic differential equations.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Image restoration with mean-reverting stochastic differential equations

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 39f55df5-db6f-4f8f-be24-9e75590d0a3e · outbound

This paper cites Gustafsson, Zheng Zhao, Jens Sj¨ olund, and Thomas B.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Gustafsson, Zheng Zhao, Jens Sj¨ olund, and Thomas B

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6eb8df0b-5e93-4ad0-ac12-bc9548ca157d · outbound

This paper cites Fourier priors-guided diffusion for zero-shot joint low-light enhancement and deblurring.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Fourier priors-guided diffusion for zero-shot joint low-light enhancement and deblurring

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation dfbaaaab-254a-4709-b3bb-34d6abddaca6 · outbound

This paper cites Defocus image deblurring network with defocus map estimation as auxiliary task.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Defocus image deblurring network with defocus map estimation as auxiliary task

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 010c44be-abe8-45d1-8105-0248171ace38 · outbound

This paper cites Intriguing findings of fre- quency selection for image deblurring.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Intriguing findings of fre- quency selection for image deblurring

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation db6e7fe0-3714-4c32-b824-57e228619259 · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.571579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9a0bc10f-a5eb-4692-81d3-c3430365bc2a · outbound

This paper cites A generalized physical- knowledge-guided dynamic model for underwater image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model A generalized physical- knowledge-guided dynamic model for underwater image enhancement

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.554838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 288e3f87-f8fd-4d95-a00e-bf902e1cbf96 · outbound

This paper cites Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.538705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d8975ac6-b9ef-4455-88e7-9d3d238ef12e · outbound

This paper cites U-shape transformer for underwater image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model U-shape transformer for underwater image enhancement

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.522188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.920259Z digest=sha256:c2b50f5f1fc6b81335f628f5b9f3f68a08c50e96a033159e9fa5f410d75f76ca

Observation 45d2cfbd-6048-4893-b061-fea0de61e1e1 · outbound

This paper cites Attentive generative adversarial network for raindrop removal from a single image.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Attentive generative adversarial network for raindrop removal from a single image

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.506128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.924531Z digest=sha256:a02df6dbced122071614c0d60790379daf84f13ec000ff831f7c67d8b7f0a5f9

Observation 7d790e45-f606-48ed-b225-89669969e0af · outbound

This paper cites Ffa-net: Feature fusion attention 29 network for single image dehazing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Ffa-net: Feature fusion attention 29 network for single image dehazing

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.489020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 49d2f2b1-e012-491c-9879-d952d4dc4eeb · outbound

This paper cites Single image deraining using bilateral recurrent network.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Single image deraining using bilateral recurrent network

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.470448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.933429Z digest=sha256:2f77f6fd78af2311aeedb1580c9cb5ddd5d91e111952e75d14224453464c249b

Observation ff430883-21f8-48dc-9993-04b3795df692 · outbound

This paper cites Live image quality assessment database release 2.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Live image quality assessment database release 2

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.454146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.938484Z digest=sha256:c4a8f2700fff2c65e1b75d22535173e24de4cbbdb8bae7bf7c155616259cbd9f

Observation 76b09377-3384-44b4-bfd1-4bb958a314f1 · outbound

This paper cites Unsupervised multi-branch network with high-frequency enhancement for image dehazing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Unsupervised multi-branch network with high-frequency enhancement for image dehazing

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.438760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.943556Z digest=sha256:b20283bc9e7ddbfacc9290761969998bee476501d837df8d5f3375faa655f803

Observation 226f4ede-c213-4ffc-9640-8c10be7aaafa · outbound

This paper cites Multi- stage image denoising with the wavelet transform.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi- stage image denoising with the wavelet transform

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.422594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.948148Z digest=sha256:48e58c68f2793a0b9385f3e6075fe339e95c3676d456db01559193a9fb10689d

Observation 0a65b550-a4e2-49f5-a4d7-54e9d1f2f1ec · outbound

This paper cites Maxim: Multi-axis mlp for image processing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Maxim: Multi-axis mlp for image processing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.406658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.953032Z digest=sha256:6b9947672c8785be092356e9f0b3a50b5483b0496a9c7493b0d5dc385da092aa

Observation 48c66f25-b664-4f9a-bd24-7d67c77a622a · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Image quality assessment: from error visibility to structural similarity

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.957877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.957877Z digest=sha256:18770e6fb51c8fcaa9630f82e9c2ea8ff731ea6e872c08af08983ad97feabd0e

Observation b2597cae-7076-4c6c-a038-cc16422457d4 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Deep Retinex Decomposition for Low-Light Enhancement

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:01.962963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:01.962963Z digest=sha256:9198193fd87ada143d3bafbd8634da0302d9d4c4bec2c0c4b90c877f743db8a8

Observation 03b1a35a-87fc-4aea-be80-c8aa31c2613b · outbound

This paper cites Unpaired learning of deep image denoising.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Unpaired learning of deep image denoising

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.380827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.968385Z digest=sha256:d8d01b13787593cd038823377c5af78875d6ad0df6c2a804a4566d5cca1693f4

Observation d3473a7b-9047-4a10-95a6-0b4be6166fdd · outbound

This paper cites Image de-raining transformer.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Image de-raining transformer

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.364521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.972750Z digest=sha256:ff48e985d5a1cce866467caefdc9e2ad2ede10422364f2ccfc9326b596b4e448

Observation 48c2d2c7-9189-4156-bb56-670e6f1b6300 · outbound

This paper cites Upt-flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement.Pattern Recognition, 158:111076, 2025.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Upt-flow: Multi-scale transformer-guided normalizing flow for low-light image enhancement.Pattern Recognition, 158:111076, 2025

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.348605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.977061Z digest=sha256:df0c0d88845cca66cc81d6e3c8483cd0c8ca421c833d43df0f028f9420ce884b

Observation fd6e12d7-b48e-475a-a1f6-304f96a2611e · outbound

This paper cites Snr-aware low-light image enhancement.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Snr-aware low-light image enhancement

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.332899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.981454Z digest=sha256:9b413e4d723b95d6e4fdcea0cfa9e4014f524e1e839538183593283946e22571

Observation 7a869d96-6989-47dc-afb9-cef3b5f0f06b · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Implicit neural representation for cooperative low-light image enhancement

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.316988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.985597Z digest=sha256:a32d18ca9db5e133e4bd995c0b99bdd843ac30fe4f8b9d08c5737b42dc2af543

Observation 4b118fa3-4e9f-43bc-a1c4-1392a26e1986 · outbound

This paper cites Deep joint rain detection and removal from a single image.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Deep joint rain detection and removal from a single image

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.301069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.990514Z digest=sha256:4fc0955484f0a5d7cec030163b18434b952e6b2ffa6b9994a21de02020a1e787

Observation 8a0966f2-b4d1-447f-896c-372aae5e3921 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Sparse gradient regu- larized deep retinex network for robust low-light image enhancement

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.284923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.994876Z digest=sha256:b768162352309c996c25fdaaee6e86bc2c55805f5610ab095c73c1dbb5076bf9

Observation 6516c25c-d8f6-4c45-8167-bdb85041fe91 · outbound

This paper cites Robust unpaired image dehazing via density and depth decomposition.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Robust unpaired image dehazing via density and depth decomposition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.267208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:01.999225Z digest=sha256:46641536d73eff9da39b8e22a419d205d391fda728a15eb3c751364669d5721b

Observation 480abc23-ed7e-4c8f-8c16-764369e4bb90 · outbound

This paper cites Self-augmented unpaired image dehazing via density and depth decomposition.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Self-augmented unpaired image dehazing via density and depth decomposition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.251380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.003278Z digest=sha256:239f10793753b8044661c9388e34f8aa49dd026cdee6eb71ca1938c1814eff66

Observation af2707fa-e41a-4fd9-849b-58f4a1a47f71 · outbound

This paper cites Degradation-removed multiscale fusion for low-light salient object detection.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Degradation-removed multiscale fusion for low-light salient object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.234997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.007487Z digest=sha256:57e04a0147b78e12a874011f8617977b5cad44c7529a39f46daa4fba19775f2b

Observation a5487ce6-aff0-4b53-aff3-7c7f4651e215 · outbound

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

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Restormer: Efficient transformer for high-resolution image restoration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.217429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.011823Z digest=sha256:f08cd6a19d2ae5a2d937ae4576b2de71a312099e948a0c18eda88f3fbb1ba200

Observation 5e8a943d-9e41-4dec-8e8b-d85cb8e3cb79 · outbound

This paper cites Multi-stage progressive image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi-stage progressive image restoration

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.201634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.015881Z digest=sha256:58c4708138d8375b6b0c2d4927418bbe7c483f3aed7bb467b3c7689b54e6cb67

Observation e88990f6-7304-47fb-a00c-c4e9e2a7c44a · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T12:07:02.020090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:07:02.020090Z digest=sha256:4e7ea4a01585eb71604e591a99228ec68aa7b114547dfbf79edafadc3b810363

Observation bf4a5168-e3b7-4e40-84e2-0215a15b5608 · outbound

This paper cites A prior guided wavelet-spatial dual attention transformer framework for heavy rain image restoration.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model A prior guided wavelet-spatial dual attention transformer framework for heavy rain image restoration

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.176986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.024595Z digest=sha256:e2252416c8035176ddf5582d15d597fa1c4aeedc58ef53b92477c36224e33cc6

Observation c0b83627-d496-449b-8e02-a6553a877fca · outbound

This paper cites Deep convolutional dictionary learning for image de- noising.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Deep convolutional dictionary learning for image de- noising

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.160746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.028950Z digest=sha256:8e5488a7b77e5f841d4f2e997a95a2641b8eb6de612139fabac0e52f82855dec

Observation 2f4378ea-1fa2-42ef-a6b6-fb52876ec294 · outbound

This paper cites Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.143580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.033122Z digest=sha256:c54b87c4119c4a9253d0bbb416339f8052ce9e47effdfc4989636662d46c040b

Observation 191a1acb-5cad-4858-99ae-1b5f532e6209 · outbound

This paper cites Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing.

Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion Model Multi-stream fusion network with generalized smooth l 1 loss for single image dehazing

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:07:02.127301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T12:07:02.037424Z digest=sha256:77fdacb056eee47eeee28fa1a7808636d67b2c7fa5c265e99f55a5c2286af9fb

Pith citing papers

No inbound Pith citation observations are available.