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Paper Citation Record · LEDGER

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2504.14664.

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

pith.paper-citation-record.v1
2504.14664 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:47:14.407826Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31743cab-caa8-458f-8544-c93a5816613e · outbound

This paper cites Non-uniform blind deblurring by reblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Non-uniform blind deblurring by reblurring

Reference 1

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Observation 865810fd-d4a9-4322-b9ba-e5e648413228 · outbound

This paper cites Blind motion deblurring with pixel-wise kernel esti- mation via kernel prediction networks.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Blind motion deblurring with pixel-wise kernel esti- mation via kernel prediction networks

Reference 2

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Observation 6473c3a3-ec8f-4b56-9745-544e8cdf5979 · outbound

This paper cites A neural approach to blind motion deblur- ring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring A neural approach to blind motion deblur- ring

Reference 3

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Observation dda74f78-dd2b-4d8b-872c-857110a1a7a6 · outbound

This paper cites Reblur2deblur: Deblurring videos via self-supervised learning.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Reblur2deblur: Deblurring videos via self-supervised learning

Reference 4

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Observation 7eb43dcf-014e-4b88-bf7d-4f926a1f9b0f · outbound

This paper cites Simple baselines for image restoration.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Simple baselines for image restoration

Reference 5

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Observation 82403282-d799-45f7-b3f5-10d933553837 · outbound

This paper cites Hierarchical Integration Diffusion Model for Realistic Image Deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Reference 6

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Observation 0c5d996c-aa0b-42bb-a739-ec906eb1f203 · outbound

This paper cites Rethinking coarse-to-fine approach in sin- gle image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Rethinking coarse-to-fine approach in sin- gle image deblurring

Reference 7

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Observation 310fa1c3-e048-4476-be4b-a5cbee9b9196 · outbound

This paper cites Improving image restoration by revisiting global information aggregation.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Improving image restoration by revisiting global information aggregation

Reference 8

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Source-reported events for the cited work

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Observation 26d17e8c-5345-417a-9ae8-53545e8ec2c6 · outbound

This paper cites Dual- domain attention for image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Dual- domain attention for image deblurring

Reference 9

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Observation 56c2df4d-c4a3-468c-86c8-e45033e2de23 · outbound

This paper cites Deblurring using analysis-synthesis networks pair.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Deblurring using analysis-synthesis networks pair

Reference 10

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Observation 85b8fc44-431f-478e-b9dd-9769a7ce2c95 · outbound

This paper cites Koalanet: Blind super-resolution using kernel-oriented adaptive local adjustment.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Koalanet: Blind super-resolution using kernel-oriented adaptive local adjustment

Reference 11

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Observation ce2030df-65ef-4925-a1db-32193da015a6 · outbound

This paper cites Efficient frequency domain-based trans- formers for high-quality image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Efficient frequency domain-based trans- formers for high-quality image deblurring

Reference 12

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Source-reported events for the cited work

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Observation 234693f6-1bee-4c2c-9158-025ea8d1d03a · outbound

This paper cites Fast image deconvolution using hyper-laplacian priors.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Fast image deconvolution using hyper-laplacian priors

Reference 13

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Observation 846263a9-58c6-4a4b-9c6f-f788e5ca8c3c · outbound

This paper cites Learning to push the limits of efficient fft-based image deconvolution.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Learning to push the limits of efficient fft-based image deconvolution

Reference 14

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Observation 6c8c0868-f121-45ce-8649-4b63ceb4f300 · outbound

This paper cites Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better

Reference 15

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Observation 1baedb16-efce-460a-ada6-262edff4a661 · outbound

This paper cites Understanding and evaluating blind deconvolution al- gorithms.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Understanding and evaluating blind deconvolution al- gorithms

Reference 16

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Source-reported events for the cited work

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Observation 42ab7ab2-f2c9-4383-8f85-2af5ce742fe7 · outbound

This paper cites Learning degradation rep- resentations for image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Learning degradation rep- resentations for image deblurring

Reference 17

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Observation df248c45-7524-43da-8378-461273c51af6 · outbound

This paper cites Effi- cient and explicit modelling of image hierarchies for image restoration.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Effi- cient and explicit modelling of image hierarchies for image restoration

Reference 18

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Source-reported events for the cited work

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Observation 1b15aaff-ba49-4eb2-93ad-424934afb021 · outbound

This paper cites Intriguing Findings of Frequency Selection for Image Deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Intriguing Findings of Frequency Selection for Image Deblurring

Reference 19

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Observation 15557867-d9f1-4dc2-999e-ff0a852bbbbe · outbound

This paper cites Intriguing findings of frequency selection for image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Intriguing findings of frequency selection for image deblurring

Reference 20

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Source-reported events for the cited work

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Observation 5242e3f3-c466-48c1-bd5b-30c480fee105 · outbound

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

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 21

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Observation b287ec30-005e-4209-9192-449e790118e6 · outbound

This paper cites Region-adaptive dense network for efficient motion deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Region-adaptive dense network for efficient motion deblurring

Reference 22

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Observation 38e35a85-a209-4714-90d4-eaf186b27624 · outbound

This paper cites Neural blind deconvolution using deep pri- ors.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Neural blind deconvolution using deep pri- ors

Reference 23

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Observation 55bbc512-e752-4bb5-89ad-91d5a8f7e44b · outbound

This paper cites Video deblurring via semantic segmentation and pixel- wise non-linear kernel.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Video deblurring via semantic segmentation and pixel- wise non-linear kernel

Reference 24

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Observation 84d70107-203c-41f6-a2eb-03a63af215fd · outbound

This paper cites Deep non-blind deconvolution via generalized low-rank approxi- mation.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Deep non-blind deconvolution via generalized low-rank approxi- mation

Reference 25

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Observation d7ec165a-e55d-4192-847f-bd0f73211ecf · outbound

This paper cites Real-world blur dataset for learning and benchmarking de- blurring algorithms.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Real-world blur dataset for learning and benchmarking de- blurring algorithms

Reference 26

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Observation 86beeb4a-aa02-4a98-ab5e-e93d26d9bcee · outbound

This paper cites Learning to deblur.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Learning to deblur

Reference 27

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Source-reported events for the cited work

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Observation 1a45bffa-8080-4896-ba03-0b02b076c9b6 · outbound

This paper cites Human-aware mo- tion deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Human-aware mo- tion deblurring

Reference 28

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Source-reported events for the cited work

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Observation d569f745-54e5-4113-8a2f-6d441a0d020f · outbound

This paper cites Spatially-attentive patch-hierarchical network for adaptive motion deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Spatially-attentive patch-hierarchical network for adaptive motion deblurring

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d054fe40-9076-428f-b45d-5cfc97613f27 · outbound

This paper cites Learn- ing a convolutional neural network for non-uniform motion blur removal.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Learn- ing a convolutional neural network for non-uniform motion blur removal

Reference 30

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Source-reported events for the cited work

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Observation c14ff916-ab79-45ae-a668-7562051e1c90 · outbound

This paper cites Scale-recurrent network for deep image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Scale-recurrent network for deep image deblurring

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6cc9ac52-f142-4c77-a049-50e03d763e3c · outbound

This paper cites Stripformer: Strip transformer for fast image deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Stripformer: Strip transformer for fast image deblurring

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 83658356-f996-4249-bfaa-4308803c2911 · outbound

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

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Image quality assessment: from error visibility to structural similarity

Reference 33

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Source-reported events for the cited work

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Observation e0c6a777-0e22-40ab-b905-3a367bd4888b · outbound

This paper cites Deep convolu- tional neural network for image deconvolution.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Deep convolu- tional neural network for image deconvolution

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ceb394f2-3169-4b9d-a233-15f957596f49 · outbound

This paper cites Motion blur kernel estimation via deep learning.IEEE Transactions on Image Processing, 27(1):194–205, 2017.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Motion blur kernel estimation via deep learning.IEEE Transactions on Image Processing, 27(1):194–205, 2017

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7579c567-e5c7-4ecd-8d5a-66d007d0f3af · outbound

This paper cites Multi-stage progressive image restoration.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Multi-stage progressive image restoration

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:47:14.489517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:47:14.398951Z digest=sha256:89eca369986444dd02ae4fdd9a3307f0a7e827dfba9717eab7f80f0883d3e2eb

Observation d921ee71-b8ac-4d13-a158-d11b7e6354f5 · outbound

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

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Restormer: Efficient transformer for high-resolution image restoration

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:47:14.402136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:47:14.402136Z digest=sha256:16d2c05214b04edac683272506868526c627fad91ba2ae9287e4a0d2c8ba40b0

Observation f83c79a0-a111-4b7e-b8e2-f753a4c3bd19 · outbound

This paper cites Deep stacked hierarchical multi-patch network for im- age deblurring.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring Deep stacked hierarchical multi-patch network for im- age deblurring

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:47:14.405087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:47:14.405087Z digest=sha256:22d67f7ac65c3d69a5403d43b06393038cbd9aeaa88c455f7bb3eddede36c0b3

Observation 76cec982-75c6-4ecc-87bc-ba6aee7a812a · outbound

This paper cites From learning models of nat- ural image patches to whole image restoration.

Frequency-domain Learning with Kernel Prior for Blind Image Deblurring From learning models of nat- ural image patches to whole image restoration

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:47:14.464078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T11:47:14.407826Z digest=sha256:c5308740a9871314dc8ba79efed22a8cbde3be09496b20b95d7ff3042b79a602

Pith citing papers

No inbound Pith citation observations are available.