Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration | Paper Citation Record

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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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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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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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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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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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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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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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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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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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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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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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

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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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

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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

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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

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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

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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

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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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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

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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

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

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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

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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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers