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Paper Citation Record · LEDGER

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration

As of 9 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:2507.13663.

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

pith.paper-citation-record.v1
2507.13663 v1

Coverage vector

measured 100 of 112 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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 112 outbound references displayed

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Outbound references

Observation 2dd0a7aa-5d09-42a1-bd76-a343eb3c26a5 · outbound

This paper cites Image-adaptive yolo for object detection in adverse weather conditions,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Image-adaptive yolo for object detection in adverse weather conditions,

Reference 1

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Observation ac44cb71-e37f-43e4-999b-6f9626861d14 · outbound

This paper cites Adapnet: Adaptive semantic segmentation in adverse environmental conditions,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Adapnet: Adaptive semantic segmentation in adverse environmental conditions,

Reference 2

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Observation 0d019066-6e4e-4c4f-9739-970ba760d1bf · outbound

This paper cites Vehicle detection and tracking in adverse weather using a deep learning framework,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Vehicle detection and tracking in adverse weather using a deep learning framework,

Reference 3

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Observation 586c78f0-76e6-4d76-8b86-53de6238fb1d · outbound

This paper cites A generalized low-rank appearance model for spatio-temporally correlated rain streaks,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration A generalized low-rank appearance model for spatio-temporally correlated rain streaks,

Reference 4

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Observation 08166db8-2cc6-446e-8e81-761a6ed807f1 · outbound

This paper cites Removing rain from a single image via discriminative sparse coding,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Removing rain from a single image via discriminative sparse coding,

Reference 5

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Observation e342848c-c5a1-4c2f-8bbb-0bb482905fa6 · outbound

This paper cites Sapnet: Segmentation- aware progressive network for perceptual contrastive deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Sapnet: Segmentation- aware progressive network for perceptual contrastive deraining,

Reference 6

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Observation 47739dc4-9145-4827-82e3-d8fa2b3d1115 · outbound

This paper cites Recurrent squeeze-and- excitation context aggregation net for single image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Recurrent squeeze-and- excitation context aggregation net for single image deraining,

Reference 7

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Observation ef3cefb1-1560-4b4c-b4c9-06dba02dc0d1 · outbound

This paper cites Progressive image deraining networks: A better and simpler baseline,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Progressive image deraining networks: A better and simpler baseline,

Reference 8

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Observation 20031fa5-b6d4-4e3b-af45-4928f8928a07 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Restormer: Efficient transformer for high-resolution image restoration,

Reference 9

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Observation bccdb791-9797-4c4a-b162-4c952e865fc0 · outbound

This paper cites Learning a sparse transformer net- work for effective image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Learning a sparse transformer net- work for effective image deraining,

Reference 10

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Observation a160758d-c58e-4691-9ac2-9bee3c1e413d · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Uformer: A general u-shaped transformer for image restoration,

Reference 11

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Observation fd875bfd-a069-41e6-a081-8c2cc56f61fd · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Deep joint rain detection and removal from a single image,

Reference 12

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Observation d453c56e-a191-4233-a6ee-21502f4963ed · outbound

This paper cites Multi- weather city: Adverse weather stacking for autonomous driving,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Multi- weather city: Adverse weather stacking for autonomous driving,

Reference 13

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Observation 74988cf3-fded-4638-9cf2-061ff03fb840 · outbound

This paper cites Removing rain from single images via a deep detail network,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Removing rain from single images via a deep detail network,

Reference 14

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Observation 5867b9cc-6b09-49a7-acb3-220dc72e2c96 · outbound

This paper cites Recurrent squeeze-and- excitation context aggregation net for single image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Recurrent squeeze-and- excitation context aggregation net for single image deraining,

Reference 15

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Observation 3496c638-cf0d-4727-b23c-d825c7d10b0e · outbound

This paper cites Progressive image deraining networks: A better and simpler baseline,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Progressive image deraining networks: A better and simpler baseline,

Reference 16

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Observation f7b2d11e-3d1f-4fa7-bff5-a47112cd1fa7 · outbound

This paper cites Multi-scale progressive fusion network for single image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Multi-scale progressive fusion network for single image deraining,

Reference 17

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Observation 2f3de878-a9a9-4eba-905a-8669077fbe4b · outbound

This paper cites Image de-raining transformer,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Image de-raining transformer,

Reference 18

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Observation 4cfd9d76-7c2b-42e2-8c74-a435d16e9614 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Uformer: A general u-shaped transformer for image restoration,

Reference 19

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Observation a7075fb2-daab-44b1-8099-b53b28d6bd39 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted win- dows,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Swin transformer: Hierarchical vision transformer using shifted win- dows,

Reference 20

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Observation 5f98480d-13d7-412e-b30f-e9be7559a7c9 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Restormer: Efficient transformer for high-resolution image restoration,

Reference 21

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Observation 00131af9-2f1a-413c-9160-d20b2ebfec07 · outbound

This paper cites Metaformer is actually what you need for vision,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Metaformer is actually what you need for vision,

Reference 22

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Observation beacb5c0-26f9-498b-860a-128b7276ee2a · outbound

This paper cites Simple baselines for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Simple baselines for image restoration,

Reference 23

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Observation db6cd474-3f8a-4ac5-96e6-3290b6daff74 · outbound

This paper cites Dawn: Direction-aware attention wavelet network for image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Dawn: Direction-aware attention wavelet network for image deraining,

Reference 24

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Observation e39749a9-5959-416d-9127-6d45ea2f8e10 · outbound

This paper cites Wave-mamba: Wavelet state space model for ultra-high-definition low-light image enhancement,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Wave-mamba: Wavelet state space model for ultra-high-definition low-light image enhancement,

Reference 25

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Observation 248f3e58-b7c8-43c4-b5ae-f25ead5beb0a · outbound

This paper cites Selective frequency network for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Selective frequency network for image restoration,

Reference 26

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Observation a43f525e-c1d4-4f3e-b8b7-8fed3f76fe0c · outbound

This paper cites When fast fourier transform meets transformer for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration When fast fourier transform meets transformer for image restoration,

Reference 27

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Observation 172349a2-4f04-4610-98fb-3b93cba3ca81 · outbound

This paper cites Learning Dual-Domain Multi-Scale Representations for Single Image Deraining.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Learning Dual-Domain Multi-Scale Representations for Single Image Deraining

Reference 28

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Observation 568434ff-9e06-47c2-9d4b-9918cf63824e · outbound

This paper cites Focal network for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Focal network for image restoration,

Reference 29

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Observation 263fd398-5295-4a1b-9693-5ddf977311af · outbound

This paper cites Removing rain from single images via a deep detail network,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Removing rain from single images via a deep detail network,

Reference 30

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Observation 21460b4e-c2e1-4916-9397-4fedd2c7b878 · outbound

This paper cites Spatial attentive single-image deraining with a high quality real rain dataset,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Spatial attentive single-image deraining with a high quality real rain dataset,

Reference 32

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Observation 5ee1b67e-d48c-43a9-b9df-f648e06b3e89 · outbound

This paper cites A model-driven deep neural network for single image rain removal,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration A model-driven deep neural network for single image rain removal,

Reference 33

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Observation 84cd5038-e6cc-4c1a-ba74-a7af944b581d · outbound

This paper cites Multi-stage progressive image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Multi-stage progressive image restoration,

Reference 34

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Observation f79325b9-c38b-49d4-a701-0cd062f2d530 · outbound

This paper cites Rain streak removal via dual graph convolutional network,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Rain streak removal via dual graph convolutional network,

Reference 35

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Source-reported events for the cited work

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Observation 21dbe6a3-2324-4f04-8294-dfe3e427f411 · outbound

This paper cites Structure- preserving deraining with residue channel prior guidance,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Structure- preserving deraining with residue channel prior guidance,

Reference 36

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Observation 8faa0746-ac33-46b0-9540-bac4b214bbb3 · outbound

This paper cites Hybrid cnn-transformer feature fusion for single image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Hybrid cnn-transformer feature fusion for single image deraining,

Reference 37

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Source-reported events for the cited work

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Observation ab913987-c49a-440a-b7c4-75178c0bc2d4 · outbound

This paper cites Learning a sparse transformer net- work for effective image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Learning a sparse transformer net- work for effective image deraining,

Reference 38

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raw_fallback, observed 2026-08-06T16:27:20.498673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:17.399757Z digest=sha256:76fcced8ceae0dd0a1ad60eea4a7d24f1cd706bcfc8dfe57a9b821bd022bfd74

Observation 0b89dc09-33f0-4102-93e9-288839867888 · outbound

This paper cites Bidirectional multi-scale implicit neural representations for image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Bidirectional multi-scale implicit neural representations for image deraining,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.491629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:17.488922Z digest=sha256:f190af90bf3b72af7fef4b58cc9f99ac7ee044720f52ae1b3fe949d402e1c51a

Observation d2b46fcc-1146-4f91-b8c2-94dc71c05daf · outbound

This paper cites Efficient frequency- domain image deraining with contrastive regularization,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Efficient frequency- domain image deraining with contrastive regularization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.484909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:17.632165Z digest=sha256:ae94b948c981075ebbffc1041407df3154e750bb82e83ee5917c8177ed61bd2b

Observation dfba2a61-ebd3-4d68-916e-b42e9694a448 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Deep joint rain detection and removal from a single image,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.477661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:17.798193Z digest=sha256:417d2ad6d426565e3d5cf3a17c7275118b285de0092b044047c1fee897615cb6

Observation 6396085b-9feb-422c-8b1e-ba0bb08f3261 · outbound

This paper cites Density-aware single image de-raining using a multi-stream dense network,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Density-aware single image de-raining using a multi-stream dense network,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:17.966974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:17.966974Z digest=sha256:4ee291a572b16fef2c81342f63f9aa50c124e43417cd07d9e884d7fa7d907fc2

Observation fb35006e-fe9e-4059-b72f-8a17abbc6470 · outbound

This paper cites Deep learning for seeing through window with raindrops,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Deep learning for seeing through window with raindrops,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.471169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.083849Z digest=sha256:7308ea2d83fc7086b125e3f1e81b058ea29a7290da530d9625e67f2cd64c4d4c

Observation a34b0840-6df1-437d-8fe0-fababcd6f4d8 · outbound

This paper cites Spatial attentive single-image deraining with a high quality real rain dataset,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Spatial attentive single-image deraining with a high quality real rain dataset,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.463673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.216091Z digest=sha256:f66b87488bd022ed48e11ec43753be2cd756ad747b7c174a5d94c656fa983d4e

Observation 6083bbd2-c1b4-444b-a56f-64e6e0fce314 · outbound

This paper cites Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:18.220297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:18.220297Z digest=sha256:321ac973f3fefddc013950c261fe3e178b694c371e96c6cea4de6c71c51fa89d

Observation 2fd6c901-a736-4432-a29b-fa2577f5936c · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.456906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.348057Z digest=sha256:5cf3ff79ee644a5b5175c1c5891f4b354335132eb438780571652da543c3ae04

Observation 25d40f84-e1dc-473d-aa9a-34c363cd24e0 · outbound

This paper cites Low-complexity single-image super-resolution based on nonnegative neighbor embedding,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Low-complexity single-image super-resolution based on nonnegative neighbor embedding,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.450117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.463829Z digest=sha256:14ad62aa4f98de721ba25d7b6a292ebd98b5163d9570b0c0dc746530894a309d

Observation 2099fdd7-f80b-4b6c-b884-ec6d3aa06a8b · outbound

This paper cites On single image scale-up using sparse-representations,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration On single image scale-up using sparse-representations,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.443114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.629820Z digest=sha256:ca5f0990f55cbd5d9226d764e343a0d9df90162be4bbd870bcf27bd618d60931

Observation 686a0a5f-f933-45c3-9adb-e1a210cb3d7a · outbound

This paper cites an unresolved cited work.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.436284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.789382Z digest=sha256:8c209ba74433435bd77ec119f1be62ae40bcbe06d3d3a268bc0c06da12c25515

Observation c0c6b612-9722-44ae-a4d0-afe68f552145 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration A database of human seg- mented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.429616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:18.913754Z digest=sha256:6b0c4549202856b8a2d93e330f0b010aa90dc5b11bb375b764a5f7db3f92b60e

Observation 17054c85-4869-4c9d-8548-65520883583f · outbound

This paper cites Sketch-based manga retrieval using manga109 dataset,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Sketch-based manga retrieval using manga109 dataset,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.422296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.004364Z digest=sha256:2553fae7ce379c4fb299d041498f6aa12a6ff21eb36604183b382ad3a2c274e0

Observation f9d00c9e-08eb-43ee-9822-19e448c4b39a · outbound

This paper cites Single image super-resolution from transformed self-exemplars,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Single image super-resolution from transformed self-exemplars,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.415551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.107145Z digest=sha256:3aeca7c6b50e3fcf69abb1e909c57a4e41c9656de4335ce96e645d48205c77cb

Observation 34457b19-1f79-4375-acc2-5c98ecc33312 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.408601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.226612Z digest=sha256:5424299674e4016d3cbfe039148519cfd2975073a8d9ffb3595ab36286644779

Observation 5c240880-b378-4367-ab4b-2036634d3a51 · outbound

This paper cites Nh-haze: An image dehazing benchmark with non-homogeneous hazy and haze-free images,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Nh-haze: An image dehazing benchmark with non-homogeneous hazy and haze-free images,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.401677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.373150Z digest=sha256:5545de53124cc96b6bdf96a9068d0a6ae69716d0cc794e047a28eff402639cc6

Observation e1552bae-0ee3-4065-b695-1c3410d57193 · outbound

This paper cites Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.395150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.505147Z digest=sha256:eafc7fafc76606c5a0d019a14ae95b99a3180abde5bd39a7091397297faf3429

Observation 860373ab-be78-42f3-afc7-9b48da90ed9e · outbound

This paper cites Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Jstasr: Joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.388079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.589745Z digest=sha256:9c8e4f10b23021965693adeeb17facbe9d947e8eead5c9f3888395a3c23d4d96

Observation 553281d4-380e-4942-b084-044647a69950 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Desnownet: Context-aware deep network for snow removal,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.381253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.670149Z digest=sha256:215655990dd96b8f3c7e573a26a7fdddfe54fcb179d304ae4386f6e7d6d0aaef

Observation aa3de021-2104-4f8f-a044-c532b851940d · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration U-shape transformer for underwater image enhancement,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.374632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.757025Z digest=sha256:ed7242a96cd4e555b684bf44dea53bd605e11287606587a217b6170d8b19808b

Observation 928a4aa0-2f7f-469c-841a-affc37fe941b · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Sparse gradient regularized deep retinex network for robust low-light image enhance- ment,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.367681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.787584Z digest=sha256:55fec72c4a1050bf8172f6df2804a150e5f803794a44b95af912b7625b0ee5dc

Observation 3bc715c5-6fc2-4bf5-a515-63032ff7427f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Pytorch: An imperative style, high-performance deep learning library,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.360815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.790294Z digest=sha256:79e6c9521da0733849f4d075f1ac862478f44f79aafaf75bd40762f0ea0a77b7

Observation d2718a3b-4aae-4c8b-9ec1-71d522149f16 · outbound

This paper cites Fixing weight decay regularization in adam,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Fixing weight decay regularization in adam,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.353452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.795245Z digest=sha256:826e662c726c01995518d1f0066537ff4708fc1cb8e1198d98c2e6434e6f5ced

Observation f5ae0b7f-e715-4cd0-aaab-d473cd5fb730 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:19.797889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:19.797889Z digest=sha256:cd27e6c7658900ac2003a848b8a4a8513177741b4f3808cdda6b1a826bb5483f

Observation 4938fbc2-8e5d-4045-abd3-9c3b6af5300f · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Attentive generative adversarial network for raindrop removal from a single image,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.346656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.800525Z digest=sha256:d3f5bdea7bca5e2c07a9e843abbbad9349e3713cf8883fbac4fc9b21f56bb81a

Observation e3002840-2a05-4d68-b033-7deef1e1e3ef · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Image-to-image translation with conditional adversarial networks,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.339994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.803029Z digest=sha256:f784fcd4b93ecbb064bfc7441a903f4782a710c028ccd19da7b700d62d6cf9f9

Observation 446b5185-7db6-40a7-a632-d5c184c776ff · outbound

This paper cites Dual residual networks leveraging the potential of paired operations for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Dual residual networks leveraging the potential of paired operations for image restoration,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.332696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.805366Z digest=sha256:e77ae2303954f69a635b99e2d9cb336876ca1f8e282887c278694f1a6c363812

Observation e0c624c1-c74e-496b-91fc-c34f7ec72303 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Maxim: Multi-axis mlp for image processing,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.325995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.808065Z digest=sha256:d4289741aa2ccfbbf9ec1de946f32347b4c81aa4724f476ac77c61a574b83110

Observation 4e9e061b-4e6f-4552-91ff-449580dba352 · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Restoring vision in adverse weather conditions with patch-based denoising diffusion models,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.319123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.811190Z digest=sha256:1ac38cd0f4b8fa732b4d4b95a29bfd1a10cad00c0fdc6dd639b1e0a42c492122

Observation 30755d9d-9e1a-40b2-ad55-13f1e4974b17 · outbound

This paper cites Sparse sampling transformer with uncertainty-driven ranking for unified removal of rain- drops and rain streaks,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Sparse sampling transformer with uncertainty-driven ranking for unified removal of rain- drops and rain streaks,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.311867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.813624Z digest=sha256:3d4a8db8ac4e75bfdeba2479aae5bda27a27109035bffde7f00a657541aa2d7d

Observation 8dd0e72e-e830-4cf6-bcc9-2c126e412258 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Adapt or perish: Adaptive sparse transformer with attentive feature refinement for image restoration,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.304529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.816477Z digest=sha256:9cfcf00806f3cde8aa9a9a9a549f74406dc6350233d477671f3c2b3194ecae3f

Observation 20d037c2-6bef-4253-bc6a-f9ce9e880dd6 · outbound

This paper cites Lightweight pyramid networks for image deraining,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Lightweight pyramid networks for image deraining,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.297537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.819168Z digest=sha256:f1307ccb571c8ca024c2a8eeec61eb620e9b2ac22041986958ccfcf7aa935540

Observation e2596518-6bfc-4698-9c74-c353f529aa37 · outbound

This paper cites Joint rain detection and removal from a single image with contextualized deep networks,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Joint rain detection and removal from a single image with contextualized deep networks,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.290105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.821644Z digest=sha256:ee063fb0864ea18cd3ad79dc63a095986c6eb132ff45e3659824be2a65ce7683

Observation c0ee76ed-927c-4127-b2e6-5c8a4a3f8a7a · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Rethinking coarse-to-fine approach in single image deblurring,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.282169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.824033Z digest=sha256:8f7bdc3af801f442d9789eda49d3dd51ab8817f95aa074283f63b78a19247f4a

Observation 70b7d57b-4c99-4a78-8287-5ca77cf8addf · outbound

This paper cites Multi-stage progressive image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Multi-stage progressive image restoration,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.273626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.826577Z digest=sha256:454951b80097188888742b6e970e743d19fc510a5b27aec40595601e6f296185

Observation d451bd32-c088-44d6-9cea-9991140977c6 · outbound

This paper cites A comparative study of image restoration networks for general back- bone network design,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration A comparative study of image restoration networks for general back- bone network design,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.266187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.829304Z digest=sha256:ab9ee1dc908888c9917bfd02dc4dc8887160089a03f449cd220aadf4b1d6f431

Observation 2f8b2d47-ddcd-4c3b-82d4-57efba9eb60e · outbound

This paper cites Acl: Activating capability of linear attention for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Acl: Activating capability of linear attention for image restoration,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.258947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.831559Z digest=sha256:3bf184032137a12eba7049ebb45350bd2783c138f462919768ca125d7bc841cc

Observation 946995e1-8454-4f27-8bbc-d8e17ceb85bd · outbound

This paper cites Mair: A locality-and continuity-preserving mamba for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Mair: A locality-and continuity-preserving mamba for image restoration,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.251905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.834796Z digest=sha256:e0b3c3326a1f23b2bdcb6a59e99b9df31665ff82fddfc42e1a51f1e9a662c047

Observation 594145ab-b6be-4043-9e69-f54617fbed36 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Mambair: A simple baseline for image restoration with state-space model,

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:19.838122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:19.838122Z digest=sha256:89e52e93e9232e4fb63f6ae9e141dcd54d8aee373224df794b54728d8035554a

Observation 723dcc13-49a4-45e3-b64a-f4464cad0fb6 · outbound

This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Fast, accurate, and lightweight super-resolution with cascading residual network,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.239921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.840586Z digest=sha256:32527b771db7a01a99e8e7e013dc2966973259ba81cc15d10c55cd7ca57f5293

Observation c065c404-bcb2-4912-a8df-5fc193d134a3 · outbound

This paper cites Efficient long-range attention network for image super-resolution,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Efficient long-range attention network for image super-resolution,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.233083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.843129Z digest=sha256:b6e4077d297a03be3de7c7f577923609af8996c5eeedfc40a8aee412f8bf79a0

Observation 7c143e36-2179-4f74-a17f-2eb40c93693a · outbound

This paper cites Swinir: Image restoration using swin transformer,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Swinir: Image restoration using swin transformer,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.226196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.845719Z digest=sha256:a76fefe9f6c9a583ada57c1a1931c477d65aa0749cef3c0afd76b0e9b44128a8

Observation 9eb55682-cc4e-4aed-a4ae-79297777cc95 · outbound

This paper cites Srformer: Permuted self-attention for single image super-resolution,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Srformer: Permuted self-attention for single image super-resolution,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.219141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.848186Z digest=sha256:f85540fed4f5806cffc80c98178014ecaa730259575bd8492e09bb105de63069

Observation 15fb4cfa-2a96-45ae-aa96-9bab52c22977 · outbound

This paper cites Multi-scale boosted dehazing network with dense feature fusion,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Multi-scale boosted dehazing network with dense feature fusion,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.211976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.851155Z digest=sha256:a158a839a792b4b27188c4f15de99824251f68a5fe50d2dd29125e2c6847057f

Observation 5e520474-a5ac-4fd0-b754-5c1826386f9f · outbound

This paper cites Pre-trained image processing transformer,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Pre-trained image processing transformer,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.204850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.853850Z digest=sha256:e55bf56fef17cca1e13976cc3b9ce980d54a89150123e7b85f80ca3e9fca60f9

Observation 49863094-4c4d-4512-80f3-1e8b0fcca70e · outbound

This paper cites A wavelet-based dual-stream network for under- water image enhancement,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration A wavelet-based dual-stream network for under- water image enhancement,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.197841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.856642Z digest=sha256:dc4f45bb9d986a940b2f323bafef5bb6a391e3089ccfb6a10581f4c7b0f30efb

Observation d6d8c009-bb0b-4b84-9dae-f45ec816a934 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Ffa-net: Feature fusion attention network for single image dehazing,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.190894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.859260Z digest=sha256:e1b4253311960e00dfdd050c5d18d7ed90b6f4e8ed34cee6c756b8142d940497

Observation 3e8cff06-b4bd-412a-a167-709ea2e7cdf0 · outbound

This paper cites Cycle-dehaze: Enhanced cyclegan for single image dehazing,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Cycle-dehaze: Enhanced cyclegan for single image dehazing,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.184024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 1c9ab52c-63c6-470f-be98-de1972de41f6 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Retinex-inspired unrolling with cooperative prior architecture search for low-light im- age enhancement,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.177158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.864741Z digest=sha256:aeb0e95accd0e774327d69991c52afc3213df67cb3959aaefde636a1d7a6f91f

Observation 1493e08f-947d-49fc-9744-308a17d7923a · outbound

This paper cites Deep Underwater Image Enhancement.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Deep Underwater Image Enhancement

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:19.867797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:19.867797Z digest=sha256:a653849ff6b32809c9a82159abc9d25f6f876d1aadfc07aa0ef382bc0be081cb

Observation c1e3002d-c955-4241-8f68-6212e7dde0a4 · outbound

This paper cites Image dehazing transformer with transmission-aware 3d position embedding,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Image dehazing transformer with transmission-aware 3d position embedding,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.170176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.870488Z digest=sha256:87e3352223d6cd01d72237d3fac24137886ff7b252c752a540d43dd7790d9887

Observation 28ab2535-131d-47c3-a894-5d8b8c16e8fb · outbound

This paper cites Perceiving and modeling density for image dehazing,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Perceiving and modeling density for image dehazing,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.163117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.872864Z digest=sha256:14ce612bc632f1f7da0118ba812b1c7b5b9b1eb3f981bc337d300c7ff9a260f7

Observation 3cb1b208-0124-4e81-8bb7-706caf5128e9 · outbound

This paper cites All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.156330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.875537Z digest=sha256:63ca7d249f7a3405da941fbb09e50f4421720cff825d4755d7be7a20d554ce1f

Observation a2007160-681e-47e4-9776-7bf63bd8b4d5 · outbound

This paper cites Band representation- based semi-supervised low-light image enhancement: Bridging the gap between signal fidelity and perceptual quality,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Band representation- based semi-supervised low-light image enhancement: Bridging the gap between signal fidelity and perceptual quality,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.149297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.878471Z digest=sha256:714e5f5830602981753651945c0ef4dd2414d9a834710c986dc2a63662052d8a

Observation 7290bcd2-03a1-4103-bd18-00979522e189 · outbound

This paper cites Underwater image enhancement via learning water type desensitized representations,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Underwater image enhancement via learning water type desensitized representations,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.141823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.881335Z digest=sha256:404dd4780c30354a96984f3883187af8900cc2bbf2f1293f879b7f3dab8e45f6

Observation 5c87d2fb-a1c1-415a-9256-4e2ba393fffa · outbound

This paper cites Underwater image enhancement via medium transmission-guided multi-color space embedding,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Underwater image enhancement via medium transmission-guided multi-color space embedding,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.134951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.883849Z digest=sha256:205cf28a06b5eac1ed12a72100ba77a8c61e16457b75945a517f3023d0963ca7

Observation 3567bdc6-a52a-49a5-bac7-08b44091d1f2 · outbound

This paper cites Curricular contrastive regularization for physics-aware single image dehazing,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Curricular contrastive regularization for physics-aware single image dehazing,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.127945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.886397Z digest=sha256:bba1f53971f9ee29562054a02e6edffa7ecf70c55109b51ba5b2b511a7a2e7b7

Observation b0123209-fbbc-4ed4-84cd-43636278fd74 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Learning enriched features for real image restoration and enhancement,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.120954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.888661Z digest=sha256:bf6c73f7cf335616d7947cf53bc1afb91419d53989cd4d08e6f75f4d7d92f35a

Observation 86600918-3178-478b-9019-a972de6bbd1d · outbound

This paper cites an unresolved cited work.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:27:20.114010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.891019Z digest=sha256:96056fc0649ace8a1c6972a836b37f0d7acc7aa19dd8159fa82b19421b0e5ef0

Observation 963de821-26c1-4aa2-aace-6979ebdd80f3 · outbound

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

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration An underwater image enhancement benchmark dataset and beyond,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.106717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.893275Z digest=sha256:6fec0add9700b649f13614b4f676d70525507557900da9774628823ff6d2d67b

Observation 33ef3991-638c-45ef-9de6-1c00e8ab76d2 · outbound

This paper cites Fourmer: an efficient global modeling paradigm for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Fourmer: an efficient global modeling paradigm for image restoration,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.099736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.895622Z digest=sha256:707b7932b7a209ec3d1cdd9d2a2004ae5b9fcda256245c6e19138675ece9b73a

Observation 0dca9570-e21b-4c36-8e92-c8c22d90be9c · outbound

This paper cites Irnext: Rethinking convolutional network design for image restoration,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Irnext: Rethinking convolutional network design for image restoration,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.092846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.897871Z digest=sha256:b5b1810dfd53a6ea99cb3842df30d871891fe2e4fd5a2e02d620525acb0dda3d

Observation 836d93f9-d1b9-472a-ba01-8a8944f6746c · outbound

This paper cites Snr-aware low-light image en- hancement,.

Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration Snr-aware low-light image en- hancement,

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:27:20.085803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T16:27:19.900088Z digest=sha256:757525aa207eb131794bd10ad4d3c1b80a199222cb71a353bc9cfc91792ac94e

Pith citing papers

No inbound Pith citation observations are available.