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Paper Citation Record · LEDGER

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration

As of 16 August 2026, this Paper Citation Record lists 100 of 154 outbound references and 0 inbound Pith citation observations for arXiv:2506.16960.

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

pith.paper-citation-record.v1
2506.16960 v1

Coverage vector

measured 100 of 154 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:20:23.737629Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 154 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved96
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 2cdbb313-d1a4-4352-8d0f-49cf2e45a710 · outbound

This paper cites A high-quality denoising dataset for smartphone cameras.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration A high-quality denoising dataset for smartphone cameras

Reference 1

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source=pdf_text observed=2026-08-15T19:20:23.193702Z digest=sha256:16f87384381cf408ab91ff539147a3ce8baee7f3fc3227787b4fe96cdc4488d3

Observation d077025e-71b7-4234-b5f0-17505ef71991 · outbound

This paper cites Defocus de- blurring using dual-pixel data.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Defocus de- blurring using dual-pixel data

Reference 2

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source=pdf_text observed=2026-08-15T19:20:23.200163Z digest=sha256:daf704bde5a41c1710e0d817480e1ebe8432ee444f85e68ddb8a7c3400b11b6a

Observation 00920f66-0e2e-42a4-b489-5cfcce86e5ee · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 3

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source=pdf_text observed=2026-08-15T19:20:23.205794Z digest=sha256:f1de3b865d59a34a9230ec0db8fd6a3893249ab6a3d703393898d46cba92d335

Observation 20013b16-1f9d-4cfd-b7eb-845b58ab5a2e · outbound

This paper cites Multimodal prompt perceiver: Empower adap- tiveness generalizability and fidelity for all-in-one image restoration.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Multimodal prompt perceiver: Empower adap- tiveness generalizability and fidelity for all-in-one image restoration

Reference 4

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source=pdf_text observed=2026-08-15T19:20:23.211884Z digest=sha256:df1edf4cb4b02203d285c449cdd09451170fad46305c41a38848418b0637b126

Observation dddd8b9b-181f-4df4-a1a1-1096156c463e · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Flamingo: a visual language model for few-shot learning

Reference 5

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source=pdf_text observed=2026-08-15T19:20:23.217315Z digest=sha256:3fc1d2a84e9389cc1dcbcf0534caf985b41628c22129adbb5d224167aa28c76e

Observation b5d6663c-3d92-45fb-ab8e-a2db4064db25 · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images

Reference 6

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source=pdf_text observed=2026-08-15T19:20:23.223175Z digest=sha256:ea7ed1d6b27b27d696830374fc7023ebe0b6e3edc69c373d8c6af657acf215e5

Observation eba73aab-a05d-495b-b31d-6110d5ef2d60 · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images

Reference 7

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source=pdf_text observed=2026-08-15T19:20:23.231226Z digest=sha256:8e93f62afb451ae0544acb8f645a2c95cf30746cf1f4f039a80885bd03a3f358

Observation d218bded-6bb5-4a7c-85c1-4eabb03a313a · outbound

This paper cites Real image denoising with feature attention.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Real image denoising with feature attention

Reference 8

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source=pdf_text observed=2026-08-15T19:20:23.237666Z digest=sha256:3a355e516d966bb76dfedd4a0629214ec99eeae36b261f6e3a1c6cb936c34fdb

Observation 56c9faa1-ff40-451b-bb34-2438feef62b0 · outbound

This paper cites Self-guided image dehazing using progressive feature fu- sion.IEEE Transactions on Image Processing, 31:1217– 1229, 2022.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Self-guided image dehazing using progressive feature fu- sion.IEEE Transactions on Image Processing, 31:1217– 1229, 2022

Reference 9

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source=pdf_text observed=2026-08-15T19:20:23.243282Z digest=sha256:d202b5aa34452384c98c1bc4fc171c71ccd83c26d55038cdd03a7bc5cdba5b78

Observation cdd65822-919a-47df-94d6-6ff94892c3fa · outbound

This paper cites Visual prompting via image inpaint- ing.Advances in Neural Information Processing Systems, 35:25005–25017, 2022.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Visual prompting via image inpaint- ing.Advances in Neural Information Processing Systems, 35:25005–25017, 2022

Reference 10

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source=pdf_text observed=2026-08-15T19:20:23.248897Z digest=sha256:2c56aa993f7afe370e0958230990bb262562164ffc26858589b5e4049ddf317a

Observation 7f180ba8-41b8-415d-9bb4-1237669597ea · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 11

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source=pdf_text observed=2026-08-15T19:20:23.255956Z digest=sha256:7258ff04375262c86744c7dae15227eaa67b4ea6a08192395429752ce6d8e6b6

Observation 2f0fc2c8-acf9-40d5-917d-9bc3fafd3bc2 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instruc- tions.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration In- structpix2pix: Learning to follow image editing instruc- tions

Reference 12

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source=pdf_text observed=2026-08-15T19:20:23.265606Z digest=sha256:0cfcd23203c72eb408b51d69510471969f5d506cb37698b2123308f87e620cab

Observation 6980e63f-d444-4b07-9f4e-572323a3dc18 · outbound

This paper cites Lion: Empowering multimodal large language model with dual-level visual knowledge.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Lion: Empowering multimodal large language model with dual-level visual knowledge

Reference 13

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source=pdf_text observed=2026-08-15T19:20:23.270750Z digest=sha256:b1256a83753ce3c9f698c4868cc2425aa73cd91e9e9198af1fd8d83bdc4619ab

Observation 1fe19a31-ca66-4d6c-a09a-6ff76f6c7777 · outbound

This paper cites Pre-trained image processing transformer.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Pre-trained image processing transformer

Reference 14

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source=pdf_text observed=2026-08-15T19:20:23.276115Z digest=sha256:f656b637859b400b51b6fbbe2369dd7d700bf1f32975ac40ac66b096400b1931

Observation 7f40b222-4654-41ce-aa10-076a51e2a793 · outbound

This paper cites Simple baselines for image restoration.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Simple baselines for image restoration

Reference 15

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source=pdf_text observed=2026-08-15T19:20:23.281145Z digest=sha256:b69ca334bfae923c27ac2101afb3efa49b4d691f267489af9932c4b9f358a24f

Observation f3f4e674-423e-4da4-85e7-69e6e24c0012 · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Sparse sampling transformer with uncertainty-driven ranking for unified removal of raindrops and rain streaks

Reference 16

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source=pdf_text observed=2026-08-15T19:20:23.286772Z digest=sha256:d7a5264a1623b85a8bea3fa74d387c0a2a6cb64d694ed91ac650a3f4b63360a6

Observation 55fa3ad3-eb2c-44ea-930f-c02051d77876 · outbound

This paper cites Learning a sparse transformer network for effective image deraining.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Learning a sparse transformer network for effective image deraining

Reference 17

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source=pdf_text observed=2026-08-15T19:20:23.292219Z digest=sha256:74ef25fbb35f7bce858a6b43ccf8940bd456e37a1e392538bed67cf91e9dc937

Observation 3b8277de-420f-4292-a4ba-2c94de493426 · outbound

This paper cites Rethinking coarse-to-fine ap- proach in single image deblurring.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Rethinking coarse-to-fine ap- proach in single image deblurring

Reference 18

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source=pdf_text observed=2026-08-15T19:20:23.297367Z digest=sha256:c639f0c7a0ae986d737bfc5c39b422da48f6ff35bbdd0b94c49bab940edf4bbd

Observation 04b184d8-523d-4a7a-941d-93828a61634b · outbound

This paper cites InstructIR: High-Quality Image Restoration Following Human Instructions.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration InstructIR: High-Quality Image Restoration Following Human Instructions

Reference 19

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source=pdf_text observed=2026-08-15T19:20:23.302267Z digest=sha256:30c3bd77a0864f389afb412464d358092ffc4a35da3bb01b125e10d11f0325cb

Observation f21b31fd-a2f4-432d-90bf-ecb4dfc0b873 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 20

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source=pdf_text observed=2026-08-15T19:20:23.307364Z digest=sha256:9e0d8f3c881acc88aa9ef26703d431d104bff072ee765b6a91d5c91daa73d1e7

Observation 21d98242-5e63-44ca-9585-31d7a0c7d356 · outbound

This paper cites Focal network for image restoration.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Focal network for image restoration

Reference 21

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source=pdf_text observed=2026-08-15T19:20:23.312939Z digest=sha256:5025135a82ce42d68c939e8937e45e6c958a4032bf839bfac6f692d39fc0432c

Observation ee21f129-e02f-4f12-91c7-f108f65ce229 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 22

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source=pdf_text observed=2026-08-15T19:20:23.318362Z digest=sha256:f384548d584d3dd12bb575f50abcb0edd27697617d13e910c633cdefbba26f9d

Observation dce70b99-1462-486f-9da7-177ba6febbce · outbound

This paper cites Restoration by generation with constrained priors.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Restoration by generation with constrained priors

Reference 23

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source=pdf_text observed=2026-08-15T19:20:23.324356Z digest=sha256:f254f4dd00adfe8dfeb3cf0db0b5b93b9ca92764558ce15dab4670f35236e896

Observation 13775838-e87a-4b24-9df5-d30c53264799 · outbound

This paper cites A dataset to evaluate underwater image restoration methods.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration A dataset to evaluate underwater image restoration methods

Reference 24

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source=pdf_text observed=2026-08-15T19:20:23.329987Z digest=sha256:43376418d5761cdbd250186a70731d512fbe63520f690ef1e8a0c828d1b2b015

Observation 0aff1f6d-1c6e-4fb0-893b-7f2f329f49ed · outbound

This paper cites Quantization guided jpeg artifact correction.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Quantization guided jpeg artifact correction

Reference 25

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source=pdf_text observed=2026-08-15T19:20:23.334926Z digest=sha256:7efddb6416b0e8e0cc43d2f53ac1bbdb4821ad4e659e7350fac98572a04bfdd6

Observation 86ee782c-3a1c-46c9-b370-c979443c5bbe · outbound

This paper cites TE42.https://www.image- engineering.de/products/charts/all/425- te42, 2024.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration TE42.https://www.image- engineering.de/products/charts/all/425- te42, 2024

Reference 26

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source=pdf_text observed=2026-08-15T19:20:23.340674Z digest=sha256:2e12429ee5911aee586910c4336354b32a9fd5b0886b39214271cd2cb9851b5f

Observation 79359825-9d11-4e5a-ac53-c2b75cdb0dac · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Taming transformers for high-resolution image synthesis

Reference 27

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source=pdf_text observed=2026-08-15T19:20:23.346124Z digest=sha256:0be36a656ca4333ceedd27190f23b76b5f538ad85ecb7bb2f2b066ed9caf1b2d

Observation 40107279-85b5-41f2-9487-1c965e7cbf74 · outbound

This paper cites A robust non-blind deblurring method using deep de- noiser prior.2022 IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition Workshops (CVPRW), pages 734–743, 2022.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration A robust non-blind deblurring method using deep de- noiser prior.2022 IEEE/CVF Conference on Computer Vi- sion and Pattern Recognition Workshops (CVPRW), pages 734–743, 2022

Reference 28

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source=pdf_text observed=2026-08-15T19:20:23.351692Z digest=sha256:ab941c6dd59bf8085776774db051bce7e82ee7654b69c2261af3781312f480a7

Observation c89505a9-a56e-4f8b-a316-6488a1c3766e · outbound

This paper cites Layoutgpt: Compositional vi- sual planning and generation with large language models.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Layoutgpt: Compositional vi- sual planning and generation with large language models

Reference 29

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source=pdf_text observed=2026-08-15T19:20:23.356578Z digest=sha256:6db15e6f297bdfdb0e6ff46b5faa0039c422377f2eeea36c2f5c7b2c87dc020c

Observation 185e2b4f-d681-4fc2-96f1-40439945a380 · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Removing rain from single images via a deep detail network

Reference 30

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source=pdf_text observed=2026-08-15T19:20:23.362204Z digest=sha256:00137d25886e941ac9305c2d354e0bd137ef6cc9851fa9544581db9da6f8b061

Observation b35d42f6-881a-425e-8dee-4a33f2804ca9 · outbound

This paper cites Image dehazing transformer with transmission-aware 3d position embedding.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5802–5810, 2022.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Image dehazing transformer with transmission-aware 3d position embedding.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5802–5810, 2022

Reference 31

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source=pdf_text observed=2026-08-15T19:20:23.367560Z digest=sha256:1346fcf8cbeefaf41705c065b154c412afcb624d828b1a10f77863225ccff2e7

Observation cde9dabf-8b6f-4840-b3c6-73edcd6be2f8 · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Image dehazing transformer with transmission-aware 3d position embedding

Reference 32

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source=pdf_text observed=2026-08-15T19:20:23.372752Z digest=sha256:dd2fb0fce7dcf738d563792e92c4135cd45f0c8c6f1f9638bb5d7d41b9653738

Observation d2d3e300-d6ce-4dc8-ad7e-9a4a9282a4d2 · outbound

This paper cites From sky to the ground: A large-scale bench- mark and simple baseline towards real rain removal.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration From sky to the ground: A large-scale bench- mark and simple baseline towards real rain removal

Reference 33

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source=pdf_text observed=2026-08-15T19:20:23.378353Z digest=sha256:9e3af813121e7250a28cd92ba1086e17b0cc08a04f925497d8d2206052a0fb46

Observation 29ae380d-a163-4f30-a653-771d7974fd99 · outbound

This paper cites OneRestore: A Universal Restoration Framework for Composite Degradation.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration OneRestore: A Universal Restoration Framework for Composite Degradation

Reference 34

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source=pdf_text observed=2026-08-15T19:20:23.384040Z digest=sha256:89316df501855bc91f58489d3b569b0a5aa67ee23e631ea58497f3cfb6aff4db

Observation 60eb2600-b8bf-4594-b561-48eeaf55f7f7 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equi- librium.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Gans trained by a two time-scale update rule converge to a local nash equi- librium

Reference 35

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source=pdf_text observed=2026-08-15T19:20:23.389544Z digest=sha256:9792c3de606e03ed97bdda107475b917808753584a99b1f4af5e1a25fdff0b81

Observation 857624ae-af75-487a-843b-1277523120c8 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural informa- tion processing systems, 33:6840–6851, 2020.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Denoising dif- fusion probabilistic models.Advances in neural informa- tion processing systems, 33:6840–6851, 2020

Reference 36

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source=pdf_text observed=2026-08-15T19:20:23.394854Z digest=sha256:0a0eef92f60209422337ff7c1766955e34201eecb13647cf37405730ec03649e

Observation 98ad3d04-1c05-469f-9bc1-b0664b65fc55 · outbound

This paper cites Memory uncer- tainty learning for real-world single image deraining.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3446–3460, 2022.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Memory uncer- tainty learning for real-world single image deraining.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3446–3460, 2022

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source=pdf_text observed=2026-08-15T19:20:23.399643Z digest=sha256:0741c7ed77c09035b0d7bdf44174b294f81f9977e49bc4053b3fa57aa6add049

Observation cd750385-7b95-49d9-a6fd-7a15e3afb430 · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Composer: Creative and Controllable Image Synthesis with Composable Conditions

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source=pdf_text observed=2026-08-15T19:20:23.405399Z digest=sha256:6d6ff88d874aba38784c3c76405ef3fccd1ddb4cf0a79b854489c362ec345edd

Observation 580e7c4a-548c-441c-bb68-fe760fc94f3e · outbound

This paper cites Fast un- derwater image enhancement for improved visual percep- tion.IEEE Robotics and Automation Letters, 5(2):3227– 3234, 2020.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Fast un- derwater image enhancement for improved visual percep- tion.IEEE Robotics and Automation Letters, 5(2):3227– 3234, 2020

Reference 39

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source=pdf_text observed=2026-08-15T19:20:23.411949Z digest=sha256:096c62be7ad67c5f34b40a888298359e2922ad422d8fc5352feb5c0b7e2bd6ed

Observation 60edcefa-76dd-4600-960b-0fd640a9ebc1 · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Image-to-image translation with conditional adver- sarial networks

Reference 40

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source=pdf_text observed=2026-08-15T19:20:23.417240Z digest=sha256:1abe5dea1967f5ad981f18cf566a7a28dd15a66d9fa9e1af9d431ad46ca20c15

Observation 381aa674-ca97-4452-a733-373e606843d0 · outbound

This paper cites Towards flex- ible blind jpeg artifacts removal.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Towards flex- ible blind jpeg artifacts removal

Reference 41

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source=pdf_text observed=2026-08-15T19:20:23.422411Z digest=sha256:1adb40cc0abf00f7fe7845872ee9f7f5e417bf592d8a4bb64c06db417e9a2892

Observation 41cf43b9-1543-4c86-b9fe-4de828d4415f · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Multi-scale progressive fusion network for single image deraining

Reference 42

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source=pdf_text observed=2026-08-15T19:20:23.428088Z digest=sha256:385e62c4b323054408b3868e8b68aa6bd22cde8b4eab3510f4dad447d1811cb5

Observation b3f281af-7bbb-4b1e-9fb7-3342d6d7bd5b · outbound

This paper cites AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

Reference 43

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source=pdf_text observed=2026-08-15T19:20:23.434161Z digest=sha256:9c8f3b66ef03d45893c0c0d7169f8dab35b54776738e740a7d38339ec3e2941c

Observation 6faff17a-59b4-44a1-ba4e-d17bba02d453 · outbound

This paper cites Li, Chunle Guo, Zhi Chai, and Chongyi Li.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Li, Chunle Guo, Zhi Chai, and Chongyi Li

Reference 44

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source=pdf_text observed=2026-08-15T19:20:23.440808Z digest=sha256:560ed33414dafbfc23c6e7239df9da791980f6541509e96f43b8fac8c718fd2c

Observation 0782afbf-035b-449f-887c-648695a85632 · outbound

This paper cites Denoising diffusion restoration models.Advances in Neural Information Processing Systems, 35:23593–23606,.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Denoising diffusion restoration models.Advances in Neural Information Processing Systems, 35:23593–23606,

Reference 45

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source=pdf_text observed=2026-08-15T19:20:23.445263Z digest=sha256:9b63855f9045d6370663efa4ac5eab8dea1e3fd28923ab79534ba7cf2eb42c9f

Observation dc93b5c3-c74f-4f9a-9e86-58d24b0fb8ab · outbound

This paper cites Variational diffusion models.Advances in neural in- formation processing systems, 34:21696–21707, 2021.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Variational diffusion models.Advances in neural in- formation processing systems, 34:21696–21707, 2021

Reference 46

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source=pdf_text observed=2026-08-15T19:20:23.451405Z digest=sha256:9ac96a44685c6c79362a66379dfc3e13d00a8daa597f736ca29b825b90965685

Observation ee2c7194-5daa-4dee-937c-33e74a063d82 · outbound

This paper cites Auto-Encoding Variational Bayes.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Auto-Encoding Variational Bayes

Reference 47

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source=pdf_text observed=2026-08-15T19:20:23.457113Z digest=sha256:ae31993cf0052ff558b8182bdc432cdb708df0c2245272ade73cf738dfd40408

Observation 87b26ca6-f480-4066-8dc1-eb442f59f1b6 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Adam: A Method for Stochastic Optimization

Reference 48

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source=pdf_text observed=2026-08-15T19:20:23.462898Z digest=sha256:faa38b08deb23e8c06c87c1b48da1e6ce88873b7e5f8318c97318082c57d7dd7

Observation 01977bfe-ecae-4727-9bff-dbc346349e9a · outbound

This paper cites Benchmark- ing single-image dehazing and beyond.IEEE Transactions on Image Processing, 28(1):492–505, 2018.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Benchmark- ing single-image dehazing and beyond.IEEE Transactions on Image Processing, 28(1):492–505, 2018

Reference 49

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source=pdf_text observed=2026-08-15T19:20:23.468961Z digest=sha256:8449cb398a549d1fa27c44138a26cdbffbcdb7b68ae33eeb9647c18b2ff30dc9

Observation 6966b0f6-daeb-4b21-9cdf-62b4e95c5b85 · outbound

This paper cites All-in-one image restoration for unknown corruption.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration All-in-one image restoration for unknown corruption

Reference 50

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source=pdf_text observed=2026-08-15T19:20:23.474727Z digest=sha256:618b7743913849ba7a373f7d5058f2e9d7f9ac95de53e28cb18f0c4788d97a15

Observation 05686bf1-a07e-45b7-8a0f-d46c1def52b1 · outbound

This paper cites PromptCIR: Blind Compressed Image Restoration with Prompt Learning.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration PromptCIR: Blind Compressed Image Restoration with Prompt Learning

Reference 51

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source=pdf_text observed=2026-08-15T19:20:23.480385Z digest=sha256:71847cb29a031d47648fc4d47502143514a989e7d72b692e2944bbe11e0ffbde

Observation a1b90176-de27-40a8-8786-908f396fccf9 · outbound

This paper cites Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

Reference 52

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source=pdf_text observed=2026-08-15T19:20:23.485787Z digest=sha256:2682e8510e8fa71f7c3ca9b00f1650d5558cd2e4437238fb797142349d8a8a5c

Observation 7cf55cf2-e741-45b9-b5f2-afe801086905 · outbound

This paper cites Learning degradation representations for image deblurring.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Learning degradation representations for image deblurring

Reference 53

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source=pdf_text observed=2026-08-15T19:20:23.491735Z digest=sha256:ac0813aaa3e13df16d8c50da7dcc16216dce28509445ef531ac0eb1d01c28c49

Observation 0098b644-7910-41bb-8d14-08402fe8e101 · outbound

This paper cites Heavy rain image restoration: Integrating physics model and conditional adversarial learning.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Heavy rain image restoration: Integrating physics model and conditional adversarial learning

Reference 54

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source=pdf_text observed=2026-08-15T19:20:23.497509Z digest=sha256:11f37d63604d422b6ce53b5f2ace37499fa922c28a88dd7739cbd77b4ff079ee

Observation 57a11e40-09bf-4dc1-bccc-4e5397852cec · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Gligen: Open-set grounded text-to-image generation

Reference 55

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source=pdf_text observed=2026-08-15T19:20:23.502411Z digest=sha256:1de1f5fd840d6e1b484313f1faba84e2d24d3160853f9acf58a027941b8c7685

Observation 11c95f3c-01bd-43ca-ac31-4093da1d7e9c · outbound

This paper cites LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models

Reference 56

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source=pdf_text observed=2026-08-15T19:20:23.507222Z digest=sha256:15d1d559440f3dfccfbb588e6a8b3b7970f04e9ae8bce56a4fc6784d1ae65a51

Observation d3bb3765-f46d-413f-abb7-2bd13f103188 · outbound

This paper cites Swinir: Image restoration using swin transformer.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Swinir: Image restoration using swin transformer

Reference 57

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source=pdf_text observed=2026-08-15T19:20:23.512404Z digest=sha256:703a532e7a3444113e442f2e810626e16056f8506b197fd0499efe8e2a22ddd7

Observation 54d458c5-2afe-4afe-89b0-65acde517d2b · outbound

This paper cites Drt: A lightweight single image deraining recursive transformer.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Drt: A lightweight single image deraining recursive transformer

Reference 58

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source=pdf_text observed=2026-08-15T19:20:23.517518Z digest=sha256:7c501a68e1c927e4836b4a362f1975e303e08c6692b76c5c10c930103d9fe568

Observation bdcdef90-2f73-459a-b4b6-4048731faf98 · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 59

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source=pdf_text observed=2026-08-15T19:20:23.521911Z digest=sha256:9f2bb4b41f18950ceb143486dfbb081c0b3680c45f191982b35d08c69b5071be

Observation db06d577-0b87-4ba4-bd20-b315b1465afb · outbound

This paper cites Unsupervised image denoising in real-world scenarios via self-collaboration parallel generative adversarial branches.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Unsupervised image denoising in real-world scenarios via self-collaboration parallel generative adversarial branches

Reference 60

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source=pdf_text observed=2026-08-15T19:20:23.526727Z digest=sha256:5674b17eb1c78a6e27ba6e7645ff8d65c68cc1416a617afb0ee0c45cb98dd2e7

Observation 80088652-7e27-465f-b06b-31d479111a49 · outbound

This paper cites Visual instruction tuning.Advances in neural infor- mation processing systems, 36, 2024.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Visual instruction tuning.Advances in neural infor- mation processing systems, 36, 2024

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source=pdf_text observed=2026-08-15T19:20:23.532006Z digest=sha256:3a86c76c70b7366c6bdf3ac58c0573a3068c4e9dc60f3629d5c06e5b9180e606

Observation 26c37d00-9319-488e-bb1e-3d25838312bc · outbound

This paper cites Structure matters: Tackling the semantic dis- crepancy in diffusion models for image inpainting.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Structure matters: Tackling the semantic dis- crepancy in diffusion models for image inpainting

Reference 62

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source=pdf_text observed=2026-08-15T19:20:23.537044Z digest=sha256:687c66b683e55d7ea051afd270645d2ecc00e2c98a96c88700743483bffde91e

Observation 9a11c9c8-742c-46a0-a1ec-502469a78131 · outbound

This paper cites Residual denoising diffu- sion models.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Residual denoising diffu- sion models

Reference 63

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source=pdf_text observed=2026-08-15T19:20:23.542443Z digest=sha256:5c64653babac3d75cc6c617c0c1251f1fa9aa0bbebd3e4cd857e23324d4d2eb5

Observation ff3564d8-114c-48e6-b133-fac73a10ee51 · outbound

This paper cites Griddehazenet: Attention-based multi-scale network for image dehazing.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Griddehazenet: Attention-based multi-scale network for image dehazing

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source=pdf_text observed=2026-08-15T19:20:23.548364Z digest=sha256:9b229d4866c289c204ac65e974db77c35d926d292965c93fa557b96a8f8a38bf

Observation a79d2ccd-62f8-4725-9289-c148e8f4a464 · outbound

This paper cites Diff-plugin: Revitalizing details for diffusion-based low-level tasks.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Diff-plugin: Revitalizing details for diffusion-based low-level tasks

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source=pdf_text observed=2026-08-15T19:20:23.555527Z digest=sha256:fa4b2bac0c91885289fa57bf795e58bdf563e2d4d86edd0082c772a9a848b6f6

Observation e2d0b0bf-57ad-4c9a-a0a3-6544d27a14e4 · outbound

This paper cites Mmbench: Is your multi- modal model an all-around player? InEuropean Confer- ence on Computer Vision, pages 216–233.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Mmbench: Is your multi- modal model an all-around player? InEuropean Confer- ence on Computer Vision, pages 216–233

Reference 66

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source=pdf_text observed=2026-08-15T19:20:23.561892Z digest=sha256:667cb1c33a23b414642331750690fe5d12ac8cdc7a03ff128be659ab610b7488

Observation f3ab8e54-ca76-489a-8534-082d058be078 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal.IEEE Transactions on Image Processing, 27(6): 3064–3073, 2018.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Desnownet: Context-aware deep network for snow removal.IEEE Transactions on Image Processing, 27(6): 3064–3073, 2018

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source=pdf_text observed=2026-08-15T19:20:23.566589Z digest=sha256:0eaf30fa572820b2c1c15b68b42c9a051056be4ec5d32c11a92fff6462a34c2d

Observation dc00f14f-8184-4dc8-be63-6fa03205aaf8 · outbound

This paper cites Decoupled Weight Decay Regularization.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Decoupled Weight Decay Regularization

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source=pdf_text observed=2026-08-15T19:20:23.572172Z digest=sha256:9f618398a4730e76f844a72afafd410d7927390da58ff953cb249b59a55e28cb

Observation 52257f74-9763-4a39-8c57-9e6e00875b7f · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 69

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source=pdf_text observed=2026-08-15T19:20:23.577403Z digest=sha256:6822b072a9b38f71a33b5aac334e832547148ee5ed01640545490e97abd2a0ed

Observation b075841c-a841-41f4-8a12-73e79e8ed746 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 70

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source=pdf_text observed=2026-08-15T19:20:23.582533Z digest=sha256:68c0ab030f8ab8318e040bd0c1ebbf41b4837681106ff8fb9184fd4374c3583d

Observation 7395570e-3065-49ed-88ca-76101b24b71e · outbound

This paper cites Controlling Vision-Language Models for Multi-Task Image Restoration.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Controlling Vision-Language Models for Multi-Task Image Restoration

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source=pdf_text observed=2026-08-15T19:20:23.588082Z digest=sha256:c079ac1f0208ef428c5250afa787a6f431a7c3cb9809449d6c78bb3e7f0d7ea6

Observation d5b5427a-3140-4035-9fc3-1d233f0d13fa · outbound

This paper cites Image Restoration with Mean-Reverting Stochastic Differential Equations.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Image Restoration with Mean-Reverting Stochastic Differential Equations

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source=pdf_text observed=2026-08-15T19:20:23.593454Z digest=sha256:6dc34cfddf5f88cd7a4386745480a0c39d8445801a268746d8049129e6baf6a2

Observation 85f43c21-0aa4-4603-b4b8-9d61a197582f · outbound

This paper cites Refusion: Enabling large- size realistic image restoration with latent-space diffusion models.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Refusion: Enabling large- size realistic image restoration with latent-space diffusion models

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source=pdf_text observed=2026-08-15T19:20:23.598349Z digest=sha256:75d57fbc6f6076f302cae6efdb00e6c1e12c00e9433c220aa6be636907cfdb7c

Observation d56349ad-67d2-4127-9043-adc550ce2606 · outbound

This paper cites ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration

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source=pdf_text observed=2026-08-15T19:20:23.603306Z digest=sha256:372ac99e9d30c4220f0bfe9c14c0ef9e2ed7458de00fb7bca0cf4e68b0e21f11

Observation 6be02548-0d1f-489d-aeed-2fe01ef9eb7e · outbound

This paper cites Waterloo exploration database: New challenges for image quality as- sessment models.IEEE Transactions on Image Processing, 26(2):1004–1016, 2016.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Waterloo exploration database: New challenges for image quality as- sessment models.IEEE Transactions on Image Processing, 26(2):1004–1016, 2016

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source=pdf_text observed=2026-08-15T19:20:23.608932Z digest=sha256:b443b81a9c45d0181ed8cbdc9ca759953ab7b512520a11c147412c848f39df52

Observation dfa0232a-860d-4558-973f-58521d68d1b7 · outbound

This paper cites Sen- sitivity decouple learning for image compression artifacts reduction.IEEE Transactions on Image Processing, 2024.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Sen- sitivity decouple learning for image compression artifacts reduction.IEEE Transactions on Image Processing, 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.614635Z digest=sha256:fc0e950a097cf6379017ca73eee7a708aae2de87685450b901900b342cb2e63e

Observation ac7458fe-3ec4-4e3b-822c-e48ea568c25e · outbound

This paper cites No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12): 4695–4708, 2012.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration No-reference image quality assessment in the spatial domain.IEEE Transactions on image processing, 21(12): 4695–4708, 2012

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.619447Z digest=sha256:032b0bf136ea00d590176ebf5ed5d07aa2224a9e99f7d5edd79333878d75ec9a

Observation aa0cff07-9a92-4a00-b34f-d154780a667d · outbound

This paper cites completely blind.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration completely blind

Reference 78

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no resolver link, observed 2026-08-15T19:20:23.624676Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.624676Z digest=sha256:6fe29887def8f659b0e705ba938ea47776d0aeb1e28acd74b2afb00f90297793

Observation 676decf5-50f5-499b-84d5-6cb7a94c0336 · outbound

This paper cites DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks

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no resolver link, observed 2026-08-15T19:20:23.629371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.629371Z digest=sha256:dec5db60b345156d4beb8cbde65bf27168e2d735da174cc2ed3b46780567153b

Observation f26db4c7-f0e0-4964-b35f-d78315f3eb8a · outbound

This paper cites T2i-adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration T2i-adapter: Learn- ing adapters to dig out more controllable ability for text-to- image diffusion models

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Resolution
unresolved
no resolver link, observed 2026-08-15T19:20:23.635367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.635367Z digest=sha256:57a73966a3327c6a57113acaffa9c875dd1ddfc79dfb17898ca60f9dd1433992

Observation 9d7af75d-6af6-4b07-8145-912160b26adb · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

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no resolver link, observed 2026-08-15T19:20:23.640213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.640213Z digest=sha256:49302dff25fd3f824b4f69d08ebf0f16d1ffaa93f6292a894d39713e0b367260

Observation c0793605-d937-4e5a-a103-23c8410bd7a5 · outbound

This paper cites Visual instruction inversion: Image editing via im- age prompting.Advances in Neural Information Processing Systems, 36, 2024.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Visual instruction inversion: Image editing via im- age prompting.Advances in Neural Information Processing Systems, 36, 2024

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.646360Z digest=sha256:f4c4671b311a55edeb0b057f3d04c0a9d80619605afeff7809874ffe71aa61da

Observation da1bc9b0-5d02-4124-8d59-12960d54101e · outbound

This paper cites Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10346–10357, 2023.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Restoring vision in adverse weather conditions with patch-based denoising diffusion models.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):10346–10357, 2023

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source=pdf_text observed=2026-08-15T19:20:23.651448Z digest=sha256:e4f008e4a0b3d1092d066a7e6edd5e31fac88c0f2ec5bc706810991f0b210683

Observation b1d70095-c237-41c9-905b-01b033eae14b · outbound

This paper cites All- in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration All- in-one image restoration for unknown degradations using adaptive discriminative filters for specific degradations

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.656542Z digest=sha256:b7317ff91ee133d722a58cd14329d79acefef876cf02afb1a8f83387383e95e2

Observation 02d87f17-32f2-4f31-8973-faa3f0b60e86 · outbound

This paper cites Scalable diffusion mod- els with transformers.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Scalable diffusion mod- els with transformers

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.662032Z digest=sha256:a4988b7755a57822930343b7ea742299c475f3d0a1f330ff09cddcbfcdba64d0

Observation ebea8403-a0d3-4535-a08b-ac43e57375d2 · outbound

This paper cites Promptir: Prompting for all- in-one image restoration.Advances in Neural Information Processing Systems, 36, 2024.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Promptir: Prompting for all- in-one image restoration.Advances in Neural Information Processing Systems, 36, 2024

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no resolver link, observed 2026-08-15T19:20:23.667199Z

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source=pdf_text observed=2026-08-15T19:20:23.667199Z digest=sha256:fdd40147e53d979e1e5b403f87aadde7b45e53b2a7027212ea605375d46f615c

Observation 230fb21e-f0c2-4a65-a578-115f82d51022 · outbound

This paper cites Attentive generative adversarial network for rain- drop removal from a single image.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Attentive generative adversarial network for rain- drop removal from a single image

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no resolver link, observed 2026-08-15T19:20:23.671853Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.671853Z digest=sha256:889e7d53a4c2ff45e1b7e11f3b0ee51c21310c9c1fda0596b4a0d4c6fe3551b8

Observation 469245f5-86fc-4378-899b-8879c9b4f124 · outbound

This paper cites Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

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source=pdf_text observed=2026-08-15T19:20:23.676875Z digest=sha256:15825c7fbf4976acdc7a41d089b01354e2f3ef80ff55870db40f8bc25a8f2c0d

Observation d3590993-5e9e-42ee-af4d-5bf0319ca536 · outbound

This paper cites Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for im- age dehazing.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Mb-taylorformer: Multi-branch efficient transformer expanded by taylor formula for im- age dehazing

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source=pdf_text observed=2026-08-15T19:20:23.681749Z digest=sha256:62fb9519fa91155bb3e36357e53e8f599b9accecc2394cbd69456ba98d5dcbf8

Observation 84c32b5d-40d1-4357-bed0-16c563d0804e · outbound

This paper cites Remov- ing raindrops and rain streaks in one go.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Remov- ing raindrops and rain streaks in one go

Reference 90

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no resolver link, observed 2026-08-15T19:20:23.687352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:20:23.687352Z digest=sha256:3ba03d316297458273e92f76a117ffc6e1d8de67a5d2fce753ee9e9af106a3df

Observation 9a0861cc-bd0c-4393-bc36-4183224d986a · outbound

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

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Deep learning for seeing through window with raindrops

Reference 91

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no resolver link, observed 2026-08-15T19:20:23.692106Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.692106Z digest=sha256:123bf877359789045f59dc9a8a5f828ddf7505d844a0f9eaaa300e5374101872

Observation 26e7aec6-4f3f-4486-a906-45dda0462e16 · outbound

This paper cites Neumann network with recursive kernels for single image defocus deblurring.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Neumann network with recursive kernels for single image defocus deblurring

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no resolver link, observed 2026-08-15T19:20:23.697761Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.697761Z digest=sha256:f8dac1992dd2d35988f194c6f555be4b7f7c9ebbe79188a78e064c5b15a46582

Observation 4dc5081f-bf40-48ac-8108-9b5682827b97 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Learn- ing transferable visual models from natural language super- vision

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no resolver link, observed 2026-08-15T19:20:23.702373Z

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source=pdf_text observed=2026-08-15T19:20:23.702373Z digest=sha256:4ab3ee1606e98d3d730fba59ba9a3393fb33b0a834ba55f23a6038b7f388e65f

Observation a213c1dc-bd04-49e8-a07f-53a602d28c63 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Hierarchical Text-Conditional Image Generation with CLIP Latents

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no resolver link, observed 2026-08-15T19:20:23.707340Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.707340Z digest=sha256:d4851d2affd7a963238899a61282eadf823500ba05e8b317d7d0bdb720e83d3e

Observation eb268aba-bb04-426c-97cd-9dd9e78ed05b · outbound

This paper cites Adaptive consistency prior based deep network for image denoising.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Adaptive consistency prior based deep network for image denoising

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verified fuzzy
raw_fallback, observed 2026-08-15T19:20:25.277803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:20:23.712680Z digest=sha256:038af491f9a4ed2e7bda37051c19ad6fd2429ac7f12cdd713c49be87eb90352d

Observation 5af893c5-005c-42f0-ac87-b03217c78ccc · outbound

This paper cites Real-world blur dataset for learning and bench- marking deblurring algorithms.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Real-world blur dataset for learning and bench- marking deblurring algorithms

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verified fuzzy
raw_fallback, observed 2026-08-15T19:20:25.261811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:20:23.717266Z digest=sha256:7ca019912f40f7ec4ecb9eb158847f18744fef43adbd53a7350bfb578e143110

Observation 2dfb3d87-a5f5-4097-955d-c02d2c52eedc · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration High-resolution image synthesis with latent diffusion models

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.723418Z digest=sha256:60e3bccc5a01bd8172c9a5b75f402621df91708429a105baf3857f4ac985a88e

Observation 4a8cae2d-965c-4d2e-9345-2c2ab200404b · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration U- net: Convolutional networks for biomedical image segmen- tation

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no resolver link, observed 2026-08-15T19:20:23.728200Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:20:23.728200Z digest=sha256:10fe4aba234246edf3ed360815147520eb99fe7f4408ef6415d5e4a8be6f3e0b

Observation 8026fce5-ac89-4a85-97a2-9ee5df3f97f1 · outbound

This paper cites Learning to deblur using light field generated and real de- focus images.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Learning to deblur using light field generated and real de- focus images

Reference 99

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verified fuzzy
raw_fallback, observed 2026-08-15T19:20:25.227340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:20:23.732774Z digest=sha256:de321770af53da529e7ffb52ed65ff5a2d1b78dd0da02e00fc2be82c4f4ebb53

Observation 927f9152-dff0-461a-a99d-cef383f74a9d · outbound

This paper cites Im- agenet large scale visual recognition challenge.Interna- tional journal of computer vision, 115:211–252, 2015.

Visual-Instructed Degradation Diffusion for All-in-One Image Restoration Im- agenet large scale visual recognition challenge.Interna- tional journal of computer vision, 115:211–252, 2015

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-15T19:20:25.210929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T19:20:23.737629Z digest=sha256:f5c3cc1fad6c5965c8cac9fd1d08c4f13ec65b7d7a0f25b8f4d8e8fd1158cfdf

Pith citing papers

No inbound Pith citation observations are available.