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Paper Citation Record · LEDGER

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement

As of 23 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.12860.

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

pith.paper-citation-record.v1
2505.12860 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:29:31.254926Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

50 of 50 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34a59bfb-0001-43a2-8969-93b80912c524 · outbound

This paper cites Brubaker, and Michael S.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Brubaker, and Michael S

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ad213405-c305-44b6-ac63-bc84fb6f8b67 · outbound

This paper cites Style-based film grain analysis and synthesis.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Style-based film grain analysis and synthesis

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:30.981958Z digest=sha256:209317a6a2748ca1a5751211ac0fe792094af262d244ca886019044f97f2a666

Observation 6e52e112-3d60-45fe-983c-ae95da22345e · outbound

This paper cites Style-based film grain analysis and synthesis.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Style-based film grain analysis and synthesis

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 59d93d5c-5fc8-4c1d-8141-d1c78b5cd32d · outbound

This paper cites Deep-based film grain removal and synthesis.IEEE Transactions on Image Processing, 32:5046–5059, 2023.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Deep-based film grain removal and synthesis.IEEE Transactions on Image Processing, 32:5046–5059, 2023

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6e4ccf6f-0f04-47bc-b7b6-02822782da2f · outbound

This paper cites Ancuti, Cosmin Ancuti, Chris Hermans, and Philippe Bekaert.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Ancuti, Cosmin Ancuti, Chris Hermans, and Philippe Bekaert

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 44563d90-541e-40ec-aa60-a73aa60a2900 · outbound

This paper cites End-to-end Optimized Image Compression.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement End-to-end Optimized Image Compression

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:29:31.006437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:29:31.006437Z digest=sha256:e8c3755e7173f1066907bad453d49c7f42794c47ecb9e80aad1b53fc33dfa6f1

Observation 52114644-96a6-4880-a3b5-5264b46889f7 · outbound

This paper cites Variational image compres- sion with a scale hyperprior.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Variational image compres- sion with a scale hyperprior

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 2026-08-22T06:32:14.747728+00:00.

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Observation 4ebe62f8-3c0b-4588-a780-6c4bb6f1a863 · outbound

This paper cites Dehazenet: An end-to-end system for single image haze removal.IEEE transactions on image process- ing, 25(11):5187–5198, 2016.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Dehazenet: An end-to-end system for single image haze removal.IEEE transactions on image process- ing, 25(11):5187–5198, 2016

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation af7a6c5c-eaf2-4762-abd4-ac0d667413a2 · outbound

This paper cites Im- age neural style transfer: A review.Computers and Electri- cal Engineering, 108:108723, 2023.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Im- age neural style transfer: A review.Computers and Electri- cal Engineering, 108:108723, 2023

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 2026-08-22T06:32:14.747728+00:00.

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Observation 4a80d5b5-377e-4fb7-a2c8-5693bf28fdd8 · outbound

This paper cites Any-resolution training for high- resolution image synthesis.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Any-resolution training for high- resolution image synthesis

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 2026-08-22T06:32:14.747728+00:00.

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Observation a2696ff4-afee-44fc-813c-27aff12e730e · outbound

This paper cites Learn- ing camera-aware noise models.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Learn- ing camera-aware noise 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 2026-08-22T06:32:14.747728+00:00.

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Observation 194d59bc-3770-4c8c-a8f2-74879f11e99d · outbound

This paper cites Bampis, Zhi Li, and Alan C.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Bampis, Zhi Li, and Alan C

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5bec8136-cbb7-4cfd-be6f-3d0f277fff79 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Diffusion pos- terior sampling for general noisy inverse problems

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:31.055346Z digest=sha256:e72432dafc60844b77aee650e8356e8d0718a40fbf71e7f3fe96bc26020e643d

Observation 3cf13fc8-fc0c-487d-93b9-5cb6b3a65011 · outbound

This paper cites Stylegan-induced data-driven regularization for inverse problems.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Stylegan-induced data-driven regularization for inverse problems

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 2026-08-22T06:32:14.747728+00:00.

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Observation 270edb06-e739-4694-b30f-5b7e8bc40d36 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Imagenet: A large-scale hierarchical image database

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 2026-08-22T06:32:14.747728+00:00.

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Observation dabb3831-786b-4c14-a55e-e2acbcd7eabe · outbound

This paper cites Stytr2: Im- age style transfer with transformers.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Stytr2: Im- age style transfer with transformers

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:31.073432Z digest=sha256:e87294ed2f9e0dc06a2adb32f512067b7c188a1eb572a2920e37af26586e6aa6

Observation e40c655e-324b-40a4-acac-3dba5a135e62 · outbound

This paper cites Simoncelli.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Simoncelli

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 571dd244-6d6d-4749-8887-a21988ab870c · outbound

This paper cites Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data.IEEE Transac- tions on Image Processing, 17(10):1737–1754, 2008.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data.IEEE Transac- tions on Image Processing, 17(10):1737–1754, 2008

Reference 18

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5321ec13-06a2-464a-9204-efffee0dcf46 · outbound

This paper cites Fre- quency separation for real-world super-resolution.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Fre- quency separation for real-world super-resolution

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 2026-08-22T06:32:14.747728+00:00.

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Observation 62a163e8-af6c-4aa7-9f1a-cf733e68fc76 · outbound

This paper cites Commons:quality images - Wikimedia Commons.https://commons.wikimedia.org/ wiki/Commons:Quality_images, n.d.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Commons:quality images - Wikimedia Commons.https://commons.wikimedia.org/ wiki/Commons:Quality_images, n.d

Reference 20

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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 2026-08-22T06:32:14.747728+00:00.

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Observation cd20ee13-01d8-4bf7-89ed-a543836c65e6 · outbound

This paper cites Single image haze removal using dark channel prior.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Single image haze removal using dark channel prior

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.860644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fe3a999f-c998-4782-a7ba-aeca903645b7 · outbound

This paper cites Real-world super-resolution via kernel estimation and noise injection.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Real-world super-resolution via kernel estimation and noise injection

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 2026-08-22T06:32:14.747728+00:00.

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Observation 784ab751-b789-43a1-b4cf-109a64095533 · outbound

This paper cites Neural style transfer: A review.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Neural style transfer: A review

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.822500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:31.114309Z digest=sha256:9511bfc39e187e91d208cfc11a5891633a4bd1e1c8c8f5273c23940e78622661

Observation a45581c7-8feb-4093-affe-902c36dcfda1 · outbound

This paper cites Noisetransfer: Image noise generation with contrastive embeddings.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Noisetransfer: Image noise generation with contrastive embeddings

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.803251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2fa00cb6-1cca-4459-aca9-c46cd39cf98f · outbound

This paper cites AOD-Net: All-in-one dehazing network.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement AOD-Net: All-in-one dehazing network

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.782987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b6c29e21-b2ab-4984-ad1d-5c10cbac29b3 · outbound

This paper cites an unresolved cited work.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:29:31.765332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ce2df59b-97b3-42fd-8546-850ee73ccfe5 · outbound

This paper cites Poisson-gaussian denoising using the exact unbiased inverse of the gener- alized anscombe transformation.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Poisson-gaussian denoising using the exact unbiased inverse of the gener- alized anscombe transformation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.745835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f2ffc8b-ea6f-447b-b3d2-0af2d4322ecc · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.724341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:31.138249Z digest=sha256:cb1314b653c354d9c8ec012e8cf1c8610e36aa7c5f31c7cbbcce7b606b271ea0

Observation f1211a6f-480e-41b8-8c83-338458b55fe0 · outbound

This paper cites Film grain synthesis for av1 video codec.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Film grain synthesis for av1 video codec

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.705428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:31.143194Z digest=sha256:d73ab9657d4a05dbce69baf1f605cc41b123d8a598a28c3c01f2c02c3bdfa898

Observation 6a19aa97-016f-409f-9c57-4391d76aa875 · outbound

This paper cites Robust un- supervised stylegan image restoration.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Robust un- supervised stylegan image restoration

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.687186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 300ab743-20e3-485f-877f-caa1f812f406 · outbound

This paper cites an unresolved cited work.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:29:31.669311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation db355ce3-594d-4b3f-ae69-9f2cc520e9e9 · outbound

This paper cites From rain generation to rain re- moval.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement From rain generation to rain re- moval

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.650513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T20:29:31.156320Z digest=sha256:0c059bd6aac9bbe1c72e13b6e13eca15a7e8234bd2e698e289ce035d1346284d

Observation f5c5c50e-df1e-48a6-b764-988cd18955c3 · outbound

This paper cites Unsuper- vised degradation representation learning for blind super- resolution.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unsuper- vised degradation representation learning for blind super- resolution

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.630430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 646d1613-1239-4997-8361-7fa57197d07a · outbound

This paper cites an unresolved cited work.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 770553f7-c84f-4143-b14e-7299a062c30f · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 35

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1efdf4b9-6042-4bd8-b994-7dd2f45b3658 · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 83e7f79a-48c4-4e5b-aae3-d6df4fafe033 · outbound

This paper cites Bovik, H.R.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Bovik, H.R

Reference 37

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f6ef71d-42d3-45f1-95c2-f2128b686978 · outbound

This paper cites Blind quality assessment of multiply distorted images using deep neural networks.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Blind quality assessment of multiply distorted images using deep neural networks

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d6bb79d4-df71-4217-9945-64709cccfd66 · outbound

This paper cites Information theoretical analysis of multi- variate correlation.IBM J.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Information theoretical analysis of multi- variate correlation.IBM J

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6d8fea0b-07ad-4c5f-8425-152ee1d19a82 · outbound

This paper cites Physics-based noise modeling for extreme low-light photog- raphy.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537, 2022.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Physics-based noise modeling for extreme low-light photog- raphy.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):8520–8537, 2022

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ecd9c3b0-e81b-4bf1-a94a-125fdc2c1938 · outbound

This paper cites an unresolved cited work.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Unresolved cited work

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e48a06dc-8069-481b-bfd5-5d9706b75d75 · outbound

This paper cites Dual adversarial network: Toward real-world noise removal and noise generation.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Dual adversarial network: Toward real-world noise removal and noise generation

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2ee989fd-5d08-4408-8d70-094c444e9b9e · outbound

This paper cites Zeiler, Dilip Krishnan, Graham W.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Zeiler, Dilip Krishnan, Graham W

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bdf0badc-e1e8-4b2c-9273-18385e10834f · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Designing a practical degradation model for deep blind image super-resolution

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.429689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 746fb725-4680-4a64-bb30-5a320b060b19 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Efros, Eli Shecht- man, and Oliver Wang

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:29:31.225639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b6703b76-ce5e-4c49-ba2f-8c60f300ae3d · outbound

This paper cites Rethinking noise synthesis and modeling in raw denois- ing.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Rethinking noise synthesis and modeling in raw denois- ing

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d7673538-8908-4ce0-93f7-91d5eab22949 · outbound

This paper cites Joint learning con- tent and degradation aware feature for blind super-resolution.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Joint learning con- tent and degradation aware feature for blind super-resolution

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.374881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bc961d39-5e0e-4798-bf2e-e84cd36a88ea · outbound

This paper cites From noise modeling to blind image denoising.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement From noise modeling to blind image denoising

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.358807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 72ed199a-1c07-4cb2-8c2b-5b19c78db1a2 · outbound

This paper cites A fast single image haze removal algorithm using color attenuation prior.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement A fast single image haze removal algorithm using color attenuation prior

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.343878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 965d161d-3bfa-465f-8eb0-6f89bddffe57 · outbound

This paper cites Estimating fine-grained noise model via contrastive learning.

Towards a Universal Image Degradation Model via Content-Degradation Disentanglement Estimating fine-grained noise model via contrastive learning

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:29:31.326886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.