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Paper Citation Record · LEDGER

Generative Latent Kernel Modeling for Blind Motion Deblurring

As of 13 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 0 inbound Pith citation observations for arXiv:2507.09285.

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

pith.paper-citation-record.v1
2507.09285 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

One-hop event checks from named stored sources.

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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

100 of 103 outbound references displayed

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External citation measurements

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Outbound references

Observation 4a26d751-515e-4954-a1e6-d5f6c0c4b3eb · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring Fast image deconvolution using hyper- laplacian priors,

Reference 1

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Observation 168783ff-1357-4b72-adda-2e61a826a8ce · outbound

This paper cites Blind deconvolution using a normalized sparsity measure,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind deconvolution using a normalized sparsity measure,

Reference 2

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Observation 0c67ab48-95a7-4d8c-afa0-a189559ad1d5 · outbound

This paper cites High-quality motion deblurring from a single image,.

Generative Latent Kernel Modeling for Blind Motion Deblurring High-quality motion deblurring from a single image,

Reference 3

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Observation 2bc0176b-a5ae-44f4-a1a2-eeb7fd6fe7cd · outbound

This paper cites Unnatural l0 sparse representation for natural image deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Unnatural l0 sparse representation for natural image deblurring,

Reference 4

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Observation 854f0a8d-e95a-4eea-948a-9c2e20ab8a2e · outbound

This paper cites Deblurring text images via l0- regularized intensity and gradient prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deblurring text images via l0- regularized intensity and gradient prior,

Reference 5

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Observation dbaff97a-4b3e-4f40-9765-239d0588593c · outbound

This paper cites l0-regularized intensity and gradient prior for deblurring text images and beyond,.

Generative Latent Kernel Modeling for Blind Motion Deblurring l0-regularized intensity and gradient prior for deblurring text images and beyond,

Reference 6

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Observation 168735e6-4500-43e7-8612-b2812d5f2102 · outbound

This paper cites Blind deblurring using internal patch recurrence,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind deblurring using internal patch recurrence,

Reference 7

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Observation ee232bfe-8ad3-4ec0-bfce-046c57721154 · outbound

This paper cites Deblurring images via dark channel prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deblurring images via dark channel prior,

Reference 8

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Observation 702c164f-7024-4bd6-a6ab-28ac254953b4 · outbound

This paper cites Removing camera shake from a single photograph,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Removing camera shake from a single photograph,

Reference 9

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Observation 171cab3a-bb3c-42a0-8b36-7fd3ed4b9ac4 · outbound

This paper cites Variational dirichlet blur kernel estimation,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Variational dirichlet blur kernel estimation,

Reference 10

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Observation 2fe7efcf-84f3-4dd7-a04e-7417a497c6c6 · outbound

This paper cites Blind image deconvolution: problem formulation and existing approaches,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image deconvolution: problem formulation and existing approaches,

Reference 11

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Observation 38adf7d2-53b0-40f3-a4b0-d259a72567f6 · outbound

This paper cites Deep variational network toward blind image restoration,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deep variational network toward blind image restoration,

Reference 12

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Observation 12446eb0-4d68-4723-adea-96a4baf757d9 · outbound

This paper cites Fast motion deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Fast motion deblurring,

Reference 13

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Observation 0bcc94c3-d2cc-4c57-81ef-601c9d27b4b9 · outbound

This paper cites Total variation blind deconvolution,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Total variation blind deconvolution,

Reference 14

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Observation 23b83abf-ed28-4553-be1d-f07a75a6e891 · outbound

This paper cites Image deblurring via extreme channels prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Image deblurring via extreme channels prior,

Reference 15

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Observation f79bb65c-bfd7-4468-86be-041be186bd07 · outbound

This paper cites A bayesian approach to blind deconvolution based on dirichlet distributions,.

Generative Latent Kernel Modeling for Blind Motion Deblurring A bayesian approach to blind deconvolution based on dirichlet distributions,

Reference 16

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Observation ae25760e-699d-4bf2-a655-6976dd570f9d · outbound

This paper cites Understanding and evaluating blind deconvolution algorithms,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Understanding and evaluating blind deconvolution algorithms,

Reference 17

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Observation e420650f-e821-4382-9b5d-29b451c648fc · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring Deep multi-scale convolutional neural network for dynamic scene deblurring,

Reference 18

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Observation b195f71c-31cc-48bf-81f0-f3c9fc2c904d · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring Scale-recurrent network for deep image deblurring,

Reference 19

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Observation ca98b5d5-a7d3-48fe-bb05-1c9ec00bc68f · outbound

This paper cites Deblurgan: Blind motion deblurring using conditional adversarial networks,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deblurgan: Blind motion deblurring using conditional adversarial networks,

Reference 20

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Observation bd11c14d-eda2-4abb-9beb-6f9902c0761e · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring Deblurgan-v2: De- blurring (orders-of-magnitude) faster and better,

Reference 21

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Observation b396ae73-14ab-4fa3-9d9a-b700a4a55fb0 · outbound

This paper cites Multi-stage progressive image restoration,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Multi-stage progressive image restoration,

Reference 22

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Observation e053c997-7a83-4177-a030-f88a9668cf11 · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring Restormer: Efficient transformer for high-resolution image restoration,

Reference 23

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Observation a1970a50-2aaa-4d8b-ab59-1056f9b8dfc1 · outbound

This paper cites Deep image prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deep image prior,

Reference 24

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Observation 25deda10-8a78-46cd-a525-221ec2140b36 · outbound

This paper cites Neural blind deconvolution using deep priors,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Neural blind deconvolution using deep priors,

Reference 25

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Observation bcf8fc9c-d263-4f65-b3a0-deb8a4b8bb3b · outbound

This paper cites Blind image deconvolution using variational deep image prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image deconvolution using variational deep image prior,

Reference 26

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Observation 58660216-52b8-410a-be22-283cf4c9a21c · outbound

This paper cites Self-supervised blind motion deblurring with deep expectation maximization,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Self-supervised blind motion deblurring with deep expectation maximization,

Reference 27

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Observation 55211ae0-b829-45ac-bfe3-c6583b6a2cbc · outbound

This paper cites Denoising diffusion probabilistic models,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Denoising diffusion probabilistic models,

Reference 28

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Observation dbf52c7a-40da-42de-9aa8-100eae044c73 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Score-based generative modeling through stochastic differential equations,

Reference 29

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Source-reported events for the cited work

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Observation 45c64d95-3b8f-409a-8112-cddbe5003727 · outbound

This paper cites Parallel diffusion models of operator and image for blind inverse problems,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Parallel diffusion models of operator and image for blind inverse problems,

Reference 30

Resolution
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Source-reported events for the cited work

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Observation ac0c9616-3488-424d-8c54-e9ba83ef571d · outbound

This paper cites Blind image restoration via fast diffusion inversion,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image restoration via fast diffusion inversion,

Reference 31

Resolution
verified fuzzy
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Observation 5f77f3cf-77f6-4b8f-87cd-edf9532f18c6 · outbound

This paper cites Exploiting deep generative prior for versatile image restoration and manipulation,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Exploiting deep generative prior for versatile image restoration and manipulation,

Reference 32

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1880073a-0565-4263-99ba-00aad55af4ec · outbound

This paper cites Glean: Generative latent bank for large-factor image super-resolution,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Glean: Generative latent bank for large-factor image super-resolution,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 57d85c74-395e-4af3-8c7d-73967c404fa9 · outbound

This paper cites Gan prior embedded network for blind face restoration in the wild,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Gan prior embedded network for blind face restoration in the wild,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.688499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6c745bed-092f-4332-bb79-748fc7311aae · outbound

This paper cites Towards real-world blind face restoration with generative facial prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Towards real-world blind face restoration with generative facial prior,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2cc12063-d7bd-4fc8-a5ff-c00581016c2c · outbound

This paper cites Generative adversarial nets,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Generative adversarial nets,

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 2026-08-12T06:34:41.77262+00:00.

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Observation 88e332a7-fbe2-46f5-93e1-2ef3a00219d1 · outbound

This paper cites Blind image deconvolution by generative-based kernel prior and initializer via latent encoding,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image deconvolution by generative-based kernel prior and initializer via latent encoding,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.624742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 45a70f1b-ffd4-4f0f-8f65-a7f22076a99d · outbound

This paper cites A comparative study for single image blind deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring A comparative study for single image blind deblurring,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.607998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:54.905382Z digest=sha256:1c252b831259172ec63a497dfb3bc20fe4174506baaddac2d96cdac95fd52547

Observation 9925a6b6-aa28-48fe-afaf-29ca9ed64d4e · outbound

This paper cites Blind motion deblurring from a single image using sparse approximation,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind motion deblurring from a single image using sparse approximation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.589469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:54.990776Z digest=sha256:0e0545006db956d37ceeed43887982a4f5d7debe031de9f5b8241225310ec280

Observation d3433013-745a-48e9-bae9-d86b48ba0cb6 · outbound

This paper cites Edge-based blur kernel estimation using patch priors,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Edge-based blur kernel estimation using patch priors,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.567333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.036119Z digest=sha256:b84d518f3ca3431bdca6f90f0330f46454423cca01d9e9e8d20fec52f58c7c98

Observation b3047d7c-051b-4042-885e-ec4f7dec0e62 · outbound

This paper cites Image deblurring via enhanced low-rank prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Image deblurring via enhanced low-rank prior,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.549494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.100875Z digest=sha256:866a20f313eb0d212bdfa9525d7edcd0e69bfb522a6086f5e24fa0c389166c39

Observation e432ca66-e497-416e-99bc-3268e0d9aabd · outbound

This paper cites Blind image deblurring using spectral properties of convolution operators,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image deblurring using spectral properties of convolution operators,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.531829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.178696Z digest=sha256:63693a1b8119c0e4e06df403ef5d3a55db87103de4d12fd2bf29f7c468e09027

Observation e4a3454f-bb0d-45cd-a543-886f9cc2e8e6 · outbound

This paper cites Total variation blind deconvolution: The devil is in the details,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Total variation blind deconvolution: The devil is in the details,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.516566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.233844Z digest=sha256:81d30e7316be7d66f657f9f8142f3d02701a34179e55359187671ea2963fbc91

Observation 394afff3-d6d1-4bdb-9187-48f58402e1ce · outbound

This paper cites Learning iteration- wise generalized shrinkage–thresholding operators for blind deconvo- lution,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Learning iteration- wise generalized shrinkage–thresholding operators for blind deconvo- lution,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.348440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.314939Z digest=sha256:54e9266cbfda9fb84c141b76d444f6ef4eaf3040cadfd68447f602ad47d1cea0

Observation 883f8f21-1fe8-47e1-ab82-848965297cfa · outbound

This paper cites Learning a convolutional neural network for non-uniform motion blur removal,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Learning a convolutional neural network for non-uniform motion blur removal,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.332098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.369926Z digest=sha256:2117d8d02605a9acb10f4177cbfcaf7cbb6f5a07cbef900fdaabe5bc6ee78a20

Observation 009c3f78-4eb7-49a8-8b44-546a6eb80d55 · outbound

This paper cites A neural approach to blind motion deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring A neural approach to blind motion deblurring,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.316429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.434518Z digest=sha256:da11e76946ed5e5241a5de0973094ed385998935b17531a7f1d50ec1e0e33204

Observation 13822e03-5c77-479d-89db-fb7dc1b40b6f · outbound

This paper cites From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur,.

Generative Latent Kernel Modeling for Blind Motion Deblurring From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.299384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.485379Z digest=sha256:bb1bdc4ddab0f59de333efee5dca8ea4478c27b0b727f9400c236f94619de22c

Observation 1d43b8ac-a61e-441c-b3ba-78708589e54c · outbound

This paper cites Physics-based generative adversarial models for image restoration and beyond,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Physics-based generative adversarial models for image restoration and beyond,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.281084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.534225Z digest=sha256:1590c992484123d08f21b864d2ad1616c1815d67d3d402f883fc0c97a5cb9a5f

Observation 9f3b6b56-a171-4b29-ac9a-300817b174b6 · outbound

This paper cites Dark and bright channel prior embedded network for dynamic scene deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Dark and bright channel prior embedded network for dynamic scene deblurring,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.264101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.620414Z digest=sha256:05d6e8db8815c17d4364a2e1c7465dcf5e4bb542f3b145692ef656d456126fb1

Observation 98cadb11-d9da-4baa-9aba-e9bcd1a76a4d · outbound

This paper cites Rethinking coarse-to-fine approach in single image deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Rethinking coarse-to-fine approach in single image deblurring,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.247063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.695906Z digest=sha256:3400769325b8e0bd61fe6ecf1f9f68f4f9aba2272d899b47d5bc12a271bf1f4b

Observation aad1604d-5ef9-4c76-b330-c242f4142af9 · outbound

This paper cites Simple baselines for image restoration,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Simple baselines for image restoration,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.228834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.753097Z digest=sha256:dcb74f6e036ea1318c6706abbe666cbac903cb9cab25f0dc3c20744d9b6b8e14

Observation 37a88fdf-d442-489b-a4f0-5402dcfa395f · outbound

This paper cites Efficient frequency domain-based transformers for high-quality image deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Efficient frequency domain-based transformers for high-quality image deblurring,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.208973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.809928Z digest=sha256:f5a26c820c2a18bb3cb2d52ec356cfeb20f10817225cce064c447a1430def69b

Observation 23a25956-1404-4409-9ccf-f043efc632af · outbound

This paper cites Cascaded deep video deblurring using temporal sharpness prior and non-local spatial- temporal similarity,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Cascaded deep video deblurring using temporal sharpness prior and non-local spatial- temporal similarity,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.188632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.870816Z digest=sha256:f40281acb6ca8d8d62013d7ed6378621242691c0597ffe27bc39bbcd10d34228

Observation 83579a08-1a46-4991-9e4a-3947ae048827 · outbound

This paper cites Residual-conditioned opti- mal transport: towards structure-preserving unpaired and paired im- age restoration,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Residual-conditioned opti- mal transport: towards structure-preserving unpaired and paired im- age restoration,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.171575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.913963Z digest=sha256:c4e700fec35fd3acd46a6139dca147d4aa2b9382fcf9da4fc28814ecbc2fea38

Observation 6e081c7f-43d6-4d56-aa0b-0dada86de43b · outbound

This paper cites Learning efficient deep discriminative spatial and temporal networks for video deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Learning efficient deep discriminative spatial and temporal networks for video deblurring,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.155747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:55.988391Z digest=sha256:8c4bd3a63f1d807784698a72000606bb9cc06241aa43618e536adfa48a94a8cf

Observation 38a42b3d-c85e-4a01-bdef-af04f49afdbd · outbound

This paper cites Degradation-aware residual- conditioned optimal transport for unified image restoration,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Degradation-aware residual- conditioned optimal transport for unified image restoration,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.139265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.046259Z digest=sha256:b066c5b2975e6fe5dfa3ed460bd1c5dc4a3087a7a3f304fa0c643215935766c0

Observation 2a7f0faa-66c4-4d36-b9b9-f7357a5bca83 · outbound

This paper cites Real-world blur dataset for learning and benchmarking deblurring algorithms,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Real-world blur dataset for learning and benchmarking deblurring algorithms,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.122437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.119506Z digest=sha256:d4846fbd8b9244cd9f3229c413ff20a7e8970a72fb8a45a06529030807c78baf

Observation b101da05-b65b-41ca-a1f4-900bd3b9c0c7 · outbound

This paper cites Uncertainty- aware unsupervised image deblurring with deep residual prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Uncertainty- aware unsupervised image deblurring with deep residual prior,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.105811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.195868Z digest=sha256:f3c6fc833a53b4779461cd552509bd7ebf40785085d27ba705c8b00c51b3253b

Observation 67b5c50d-7d3f-4add-9ba0-a16ea55ecb22 · outbound

This paper cites Blind image deconvolution using deep generative priors,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image deconvolution using deep generative priors,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.087334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.248153Z digest=sha256:f88b18654f9e019bd72b0e83f693c9fae4db8c46e784bd0c7dd94f2e5d57bca2

Observation 950798f8-efc4-4018-b124-36777ff45507 · outbound

This paper cites Flow- based kernel prior with application to blind super-resolution,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Flow- based kernel prior with application to blind super-resolution,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.067428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.327642Z digest=sha256:2b0c65316a4971a4fe562ee0341fb2b97a065243cce88632fa79b26ddef82056

Observation 22d79b3f-9cae-45a1-94a4-27731f081646 · outbound

This paper cites Blind image super-resolution with elaborate degradation modeling on noise and kernel,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image super-resolution with elaborate degradation modeling on noise and kernel,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.048868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.380259Z digest=sha256:ec0950c626056899764c4b6f18bb63cf41dd0e51cfa5bd6253d6f0048f5f7c89

Observation d25dfa6c-8442-44d7-b487-fe31f2ecfdbc · outbound

This paper cites ” double-dip.

Generative Latent Kernel Modeling for Blind Motion Deblurring ” double-dip

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.028978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.458677Z digest=sha256:a546a3194cf6507cfcabf1c21378f70e1f2417deb842d87efd468ccee00e2691

Observation 4839af9a-9957-4300-9eac-0e4830df38c4 · outbound

This paper cites Retinexdip: A unified deep framework for low-light image enhancement,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Retinexdip: A unified deep framework for low-light image enhancement,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:08.010311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.531631Z digest=sha256:91a8dd8e973d67f2a08f216643be74f57fe4791f94cc544b0ec2ee2bfe620371

Observation 3979b5bf-6daf-47aa-b96e-f2f84a66b752 · outbound

This paper cites Pet image reconstruction using deep image prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Pet image reconstruction using deep image prior,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:07.988443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.657626Z digest=sha256:d684e26b30cf875920d0c0223311be11f6992b5d2d5e947e927b72faa752e354

Observation 850c7928-7169-4ea7-9fc0-0eaf1576bda7 · outbound

This paper cites Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Hyperspectral mixed noise removal via spatial-spectral constrained unsupervised deep image prior,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:07.967597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.802183Z digest=sha256:8dd0e1b02ac21ffc1868ef49ededfdbe8373a24edb8e15597dc4144edbd2639c

Observation 6b481057-3502-41c8-bc7e-6c398b543d75 · outbound

This paper cites Pulse: Self- supervised photo upsampling via latent space exploration of generative models,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Pulse: Self- supervised photo upsampling via latent space exploration of generative models,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:07.919764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:56.877474Z digest=sha256:243961156eb251dc6bdd1a966ad6f20ba580e77cad76ef7029443928c0a09ba7

Observation dcd5ef8a-6892-4480-b0ff-f9cb35734d15 · outbound

This paper cites Diffusion Image Prior.

Generative Latent Kernel Modeling for Blind Motion Deblurring Diffusion Image Prior

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:06:00.707555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:57.026966Z digest=sha256:9aa1f73044e7f5176a0dfdbeba35c011600d38962a3891a77b0ab8266ccce7b2

Observation dc1beba6-0ea1-4416-926e-c7e10793228b · outbound

This paper cites Gibbsddrm: A partially collapsed gibbs sampler for solving blind inverse problems with denoising diffusion restoration,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Gibbsddrm: A partially collapsed gibbs sampler for solving blind inverse problems with denoising diffusion restoration,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:07.789344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:57.119608Z digest=sha256:c61c38be45da4b1c2ef626ba809b4e629f3c339acca50e26b840949e2ff41253

Observation ccccef6a-3d44-4314-8dde-f3749066240b · outbound

This paper cites Gan inversion: A survey,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Gan inversion: A survey,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:07.537121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:57.212120Z digest=sha256:52ede66107489f6830e4b3e5daf31c734f01376bbfc45ce067ef81ef40e15c94

Observation 3130abe5-2c3f-4523-925a-d51a97f9ba9a · outbound

This paper cites Navigating image restoration with var’s distribution alignment prior,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Navigating image restoration with var’s distribution alignment prior,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:07.258442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:57.332617Z digest=sha256:983eed2642cddef2bc7acbd9d7528ce2796d44fd875a3999b1b31c61b8d04cb7

Observation 293661de-9855-4124-bf2d-d06b12b02cfb · outbound

This paper cites JoIN: Joint GANs inversion for intrinsic image decomposition,.

Generative Latent Kernel Modeling for Blind Motion Deblurring JoIN: Joint GANs inversion for intrinsic image decomposition,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:06.945577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:57.413168Z digest=sha256:d6a1acb420bd97533bb6bec58322d5b3a2af4e51f9fdf7fd91d5509c72fd79c3

Observation 00a74515-677e-4401-b26f-cbc1965104f1 · outbound

This paper cites Auto-encoding variational bayes,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Auto-encoding variational bayes,

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T18:05:57.539846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:05:57.539846Z digest=sha256:07c79ad5ab0c4a19e1df03211b2c17171f5c3eb7c43a7b689316b75a7c3ad346

Observation 6ac8cbc0-b7b7-4146-8b98-215463212397 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Generative Latent Kernel Modeling for Blind Motion Deblurring NICE: Non-linear Independent Components Estimation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T18:05:57.653138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:05:57.653138Z digest=sha256:73adf79c2336dc14a0a214fb9db02d7866b1153940ec98fe800d15f983d4c76e

Observation 81ad3230-2b0c-4a89-a138-d1ccd06458e7 · outbound

This paper cites Density estimation using real NVP,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Density estimation using real NVP,

Reference 74

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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 2026-08-12T06:34:41.77262+00:00.

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Observation 417fc93b-780f-4d1e-9e2a-ddaf6dbb2a3b · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Glow: Generative flow with invertible 1x1 convolutions,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:06.227569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 35917e7c-bc0d-4a40-98cf-5133956383c0 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Generative Latent Kernel Modeling for Blind Motion Deblurring Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T18:05:58.013605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4f7d9d1-af0b-48ee-9456-a5e7bd340733 · outbound

This paper cites Ex- plicitly minimizing the blur error of variational autoencoders,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Ex- plicitly minimizing the blur error of variational autoencoders,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:06.059855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2bbbee44-6607-4de3-977d-878964ee368d · outbound

This paper cites Collaborative Learning for Faster StyleGAN Embedding.

Generative Latent Kernel Modeling for Blind Motion Deblurring Collaborative Learning for Faster StyleGAN Embedding

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:06:00.496540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.252597Z digest=sha256:ac3f606be8378d6fc73d84394e1f6bc95401f2bd51f4f7e74daa46e81bfaf855

Observation 653ac8b5-11d8-47f2-99a1-0cf812b3396b · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Generative Latent Kernel Modeling for Blind Motion Deblurring A style-based generator architecture for generative adversarial networks,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:05.821365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.414615Z digest=sha256:944d8afbb00577adf57d08d928e55481ae3608ab4912d372f1f45de4e79f0d2b

Observation 1dc53851-34fc-4f0a-89e8-43c510d0218f · outbound

This paper cites Denoising diffusion implicit mod- els,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Denoising diffusion implicit mod- els,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:05.634194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.499925Z digest=sha256:c17aae39f16dd04332bd0d3759a8b55d2d1a4c64c9f7705df122f9dfadc29a79

Observation eac19e31-3027-4d6e-ab8a-aba3be9edc12 · outbound

This paper cites Space-variant single- image blind deconvolution for removing camera shake,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Space-variant single- image blind deconvolution for removing camera shake,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:05.483492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.573217Z digest=sha256:0ac91de9d8948b3199d4af01f4a4d0f79235673c54a67d7fa5a0c54504f9846c

Observation fe6696cf-c2b1-4763-9653-ff1c2c6d1809 · outbound

This paper cites Efficient filter flow for space-variant multiframe blind deconvolution,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Efficient filter flow for space-variant multiframe blind deconvolution,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:05.322405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.674921Z digest=sha256:d45c7c7c2e0a8c7369b98b892d41380e41be272ef4060d0fe67aa2858f4fe1bc

Observation 5a1f3d10-fb18-4e23-ae04-5c641d299ef2 · outbound

This paper cites Image deblurring using inertial measurement sensors,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Image deblurring using inertial measurement sensors,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:05.075703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.746853Z digest=sha256:fa8472bf9f3a898830f80b86186c663f2216602e5fafe1418fdeeb9d417fbe49

Observation 75927cbd-8a2d-4c4f-98bd-e0a549683c61 · outbound

This paper cites Blind motion deblur- ring with pixel-wise kernel estimation via kernel prediction networks,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind motion deblur- ring with pixel-wise kernel estimation via kernel prediction networks,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:04.736415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.848668Z digest=sha256:7ef24e618c5a29b576cb4a66023b30c6f7570bad2e300120b608fab1fb920285

Observation f15c06f7-aeb4-47aa-b07b-2a4a9bfa95f6 · outbound

This paper cites Blind image deblurring with outlier handling,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image deblurring with outlier handling,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:04.425168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.900307Z digest=sha256:bb213371f64993c3444245e01af78ecbcf5db240f818c545f3b2ed5e4d0bb048

Observation 403fd631-6aed-4da3-8323-85491799d1d8 · outbound

This paper cites Deblurring using analysis-synthesis net- works pair,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deblurring using analysis-synthesis net- works pair,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:04.199929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:58.959827Z digest=sha256:4198700606b19ee1f3e439de834dabb88a001c39182ad7728a568b50e6eb6121

Observation 2d1bfffe-5526-4eb0-91eb-cfa7af564864 · outbound

This paper cites Cross-scale self-supervised blind image deblurring via implicit neural representation,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Cross-scale self-supervised blind image deblurring via implicit neural representation,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:03.928878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.079874Z digest=sha256:4e602080d0e38015314955034c84a6c0136f06e7a9f2349c1580d45beb0bb57c

Observation 9bced067-75de-4ce9-952f-08799c9f0b17 · outbound

This paper cites Deep residual learning for image recognition,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Deep residual learning for image recognition,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:03.586761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.156982Z digest=sha256:1ae15ad3c3429d2c7b36bd703831f0bf0b232b295df2c0d4c635e1dfc4574801

Observation 7511e563-6ec2-49f5-99f2-6c86cbae276d · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,.

Generative Latent Kernel Modeling for Blind Motion Deblurring The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:03.271557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.255696Z digest=sha256:8af5b4da058bf91163851d6a68e9e84c9083be377744f8d1043d8226b714a180

Observation 8e72fc32-2494-4ddd-91b0-61fbcf2b9874 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generative Latent Kernel Modeling for Blind Motion Deblurring Adam: A Method for Stochastic Optimization

Reference 90

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unresolved
no resolver link, observed 2026-08-06T18:05:59.341422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:05:59.341422Z digest=sha256:00990cc2326be11ce91d91326b26b9d39c967e56a35470d1c0354bbb784d3ae1

Observation cefe9c8c-2574-48e9-bdee-ad5a97adb895 · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring The unreasonable effectiveness of deep features as a perceptual metric,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:02.918501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.437877Z digest=sha256:5daf2fb9931ae29f7517b594091a8bfc17882e278ed6a1fc7d6f7315fa4febcb

Observation 9ccbff8e-16ce-4201-9e97-40482833ffee · outbound

This paper cites Making a “completely blind.

Generative Latent Kernel Modeling for Blind Motion Deblurring Making a “completely blind

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:02.632009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b56bd847-0a3d-4780-9742-7c00a25a5c76 · outbound

This paper cites Blind/referenceless image spatial quality evaluator,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind/referenceless image spatial quality evaluator,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:02.305990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.582388Z digest=sha256:78291197e4fee42728f656e7a9d9488b0c581bb4ddb4787451a6a9078da5f3d2

Observation 40dffcfe-f2c5-4a58-9c76-527a4825ce46 · outbound

This paper cites Blind image quality evaluation using perception based features,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Blind image quality evaluation using perception based features,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:02.179348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.665612Z digest=sha256:9a984feac8e75995bc254d2590a0c886255c4134ed24fa4912f4164bc6055e9f

Observation 37bd0c24-47a0-436c-bf27-26decd6b6cac · outbound

This paper cites Microsoft coco: Common objects in context,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Microsoft coco: Common objects in context,

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-06T18:05:59.736838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:05:59.736838Z digest=sha256:894d9f103539d40c8d5d45fdc2241bd4ac6eace1f359de7771e559b71c9ead43

Observation 37c50148-af5a-41f6-9f12-074067f253bc · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Stargan v2: Diverse image synthesis for multiple domains,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:01.976051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.829586Z digest=sha256:c500aedb1fb33bd88608daba65709f7a0eaa151965ae1a9584b12aca8bd7f388

Observation 29fc59db-d2d2-4558-ba6e-004cb80a68db · outbound

This paper cites Large-scale celebfaces attributes (celeba) dataset,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Large-scale celebfaces attributes (celeba) dataset,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:01.796771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.910994Z digest=sha256:c89c44dee6cabed5cb82312a0222984ee54fd108951f4d82641c3e7c48dbc364

Observation 30b4e1ea-0d1a-48fb-bad8-2846d1c99d8a · outbound

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

Generative Latent Kernel Modeling for Blind Motion Deblurring Imagenet: A large-scale hierarchical image database,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:01.591587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:05:59.967144Z digest=sha256:704921ad3a7f24cb5de6c3fdd8203f6ebf88d367f91039b540897fd26ba67c10

Observation 878d9cf1-1e30-4e76-815d-6e2c702f25fd · outbound

This paper cites Non-uniform deblur- ring for shaken images,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Non-uniform deblur- ring for shaken images,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:01.399691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:06:00.071272Z digest=sha256:1f35eb6ad90f90a6b769b63e657226a4692f55ea79bd2591143bdc6b2fb9380c

Observation be69ebd1-992d-4bbb-9381-08ed070e4948 · outbound

This paper cites Event-guided multi-patch network with self-supervision for non-uniform motion deblurring,.

Generative Latent Kernel Modeling for Blind Motion Deblurring Event-guided multi-patch network with self-supervision for non-uniform motion deblurring,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:06:01.236008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T18:06:00.148497Z digest=sha256:55ae5b896a1c064f6c26804caf786d0407086eef856b2ae7b2984de6b9102bdf

Pith citing papers

No inbound Pith citation observations are available.