Paper Citation Record · LEDGER

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration

As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2411.17687.

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

pith.paper-citation-record.v1
2411.17687 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:54:35.845085Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:34:11.535421Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:34:12.466162Z

Reference resolution

62 of 62 outbound references displayed

verified exact1
verified fuzzy30
unresolved31
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5421ade8-b2ec-49bc-b66a-8a243992d8a1 · outbound

This paper cites O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration O-haze: a dehazing bench- mark with real hazy and haze-free outdoor images

Reference 1

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Source-reported events for the cited work

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Observation e1e58884-3a01-413f-b338-9aa483e053e1 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Nh-haze: An image dehazing benchmark with non- homogeneous hazy and haze-free images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.504792Z

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Observation 5deb30d5-7e95-499d-a18c-0badace333eb · outbound

This paper cites Synthetic Data from Diffusion Models Improves ImageNet Classification.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Synthetic Data from Diffusion Models Improves ImageNet Classification

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.610174Z

Source-reported events for the cited work

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Observation a6df7e8c-e561-4cd5-8baf-a8e47ffddda6 · outbound

This paper cites Leaving Reality to Imagination: Robust Classification via Generated Datasets.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Leaving Reality to Imagination: Robust Classification via Generated Datasets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.614488Z

Source-reported events for the cited work

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Observation a0fd6c8f-0807-4fc0-9a46-69bd099ddaf4 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration In- structpix2pix: Learning to follow image editing instructions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.493624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 19fa84d1-4a5c-40f9-9270-f013181e097d · outbound

This paper cites Learning a deep single image contrast enhancer from multi-exposure images.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Learning a deep single image contrast enhancer from multi-exposure images

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.623242Z

Source-reported events for the cited work

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Observation 51df8b2e-6414-444a-b9c4-54eaf7f3da7b · outbound

This paper cites an unresolved cited work.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:54:36.475413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e1f1c7c-0c99-4016-a421-e0b63439ccd0 · outbound

This paper cites Snow removal in video: A new dataset and a novel method.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Snow removal in video: A new dataset and a novel method

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.463993Z

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Observation cb56a2d8-553d-437f-b07d-dcdffd91a3ea · outbound

This paper cites Textdiffuser: Diffusion models as text painters.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Textdiffuser: Diffusion models as text painters

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.452254Z

Source-reported events for the cited work

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Observation 7006c864-af2b-4325-a7ac-1683559f3150 · outbound

This paper cites Simple baselines for image restoration.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Simple baselines for image restoration

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.440171Z

Source-reported events for the cited work

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Observation eab276e5-eed5-4da8-b5f0-de40fc05d1ba · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Jstasr: Joint size and transparency- aware snow removal algorithm based on modified partial convolution and veiling effect removal

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.429465Z

Source-reported events for the cited work

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Observation 6fa59007-92f3-48b0-a7b6-4c7f45979b5c · outbound

This paper cites Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a uni- fied model.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a uni- fied model

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.418884Z

Source-reported events for the cited work

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Observation a1a4042d-717f-46ea-8337-7d111f539329 · outbound

This paper cites Instruc- tir: High-quality image restoration following human instruc- tions.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Instruc- tir: High-quality image restoration following human instruc- tions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.408161Z

Source-reported events for the cited work

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Observation 8c004b5b-8d83-4658-96cd-a4fdbf7fe19a · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Imagenet: A large-scale hierarchical image database

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.655600Z

Source-reported events for the cited work

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Observation e948b45d-154d-48ba-99bf-8d81dd26ba53 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration From sky to the ground: A large-scale benchmark and simple baseline towards real rain removal

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.389931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fe23709-cff5-4e72-8937-7f7f5aa75f76 · outbound

This paper cites Single image haze removal using dark channel prior.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Single image haze removal using dark channel prior

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.379238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 643c9c90-879c-49bf-ac04-b29c8461cbf9 · outbound

This paper cites A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.667318Z

Source-reported events for the cited work

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Observation f5dedefd-67f0-4d61-9dc2-9daf89e0d7ee · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.671424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13c603b-19c7-4198-b0bd-05e47e730adf · outbound

This paper cites Automatic single-image-based rain streaks removal via image decom- position.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Automatic single-image-based rain streaks removal via image decom- position

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.367514Z

Source-reported events for the cited work

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Observation a9c1a6be-3781-4934-89ba-77759c8fd518 · outbound

This paper cites Auto-Encoding Variational Bayes.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Auto-Encoding Variational Bayes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.679920Z

Source-reported events for the cited work

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Observation 772f180b-a135-4e46-8a95-278dcfe2d386 · outbound

This paper cites Segment any- thing.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Segment any- thing

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.684130Z

Source-reported events for the cited work

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Observation a89a5852-7144-4da7-b9ff-04a6edb5e0bf · outbound

This paper cites A Preliminary Exploration Towards General Image Restoration.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration A Preliminary Exploration Towards General Image Restoration

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.688156Z

Source-reported events for the cited work

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Observation eca84545-bd6c-4b53-b44f-c38b9de9bfea · outbound

This paper cites Benchmarking single- image dehazing and beyond.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Benchmarking single- image dehazing and beyond

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.349918Z

Source-reported events for the cited work

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Observation 5363d746-76a3-45a2-a61b-cc104f00b9b4 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.695951Z

Source-reported events for the cited work

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Observation 5a29a2e5-3f94-4974-b5e4-f04b21e1fd14 · outbound

This paper cites Tan, and Loong-Fah Cheong.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Tan, and Loong-Fah Cheong

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.331674Z

Source-reported events for the cited work

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Observation 355d22ca-c2b4-48a8-a292-3a82de5d6723 · outbound

This paper cites Toward Real-world Single Image Deraining: A New Benchmark and Beyond.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Toward Real-world Single Image Deraining: A New Benchmark and Beyond

Reference 26

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Source-reported events for the cited work

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Observation 881c4df4-3f29-44ea-95a4-981b677d72e2 · outbound

This paper cites Swinir: Image restoration using swin transformer.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Swinir: Image restoration using swin transformer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.320406Z

Source-reported events for the cited work

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Observation 3e905c89-839f-4787-9499-b32334c4ed89 · outbound

This paper cites Degae: A new pretraining paradigm for low-level vision.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Degae: A new pretraining paradigm for low-level vision

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.308519Z

Source-reported events for the cited work

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Observation 93c87d2b-7aed-4225-b630-d9899557e38c · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Diff-plugin: Revitalizing details for diffusion-based low-level tasks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.296811Z

Source-reported events for the cited work

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Observation 81c122e9-d9d9-4393-bd14-749eaedb6d25 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Desnownet: Context-aware deep network for snow removal

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.284884Z

Source-reported events for the cited work

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Observation ef097f4b-1538-4179-89ae-ac8e7360ee24 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.724331Z

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Observation 14411826-d7c5-4a33-8b37-7e253d5548c2 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Controlling Vision-Language Models for Multi-Task Image Restoration

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.728207Z

Source-reported events for the cited work

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Observation e701e8c6-8d99-4ba5-b5f5-96b05637bda9 · outbound

This paper cites DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.732336Z

Source-reported events for the cited work

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Observation ff030783-3d61-4b6e-b5f9-73ed25023afa · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.736461Z

Source-reported events for the cited work

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Observation 41e0e045-43a9-46f1-ad5f-ebbfd065dcd8 · outbound

This paper cites Promptir: Prompting for all-in- one image restoration.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Promptir: Prompting for all-in- one image restoration

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.259691Z

Source-reported events for the cited work

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Observation bceeff5a-e816-4b4a-bb0c-e6dc94257967 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Remov- ing raindrops and rain streaks in one go

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.248471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ca1e13a-cd23-4eec-a722-9d8c3b731663 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Learning transferable visual models from natural language supervi- sion

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.747712Z

Source-reported events for the cited work

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Observation 9fa4d6a3-4900-4731-ae94-508cea60bb8d · outbound

This paper cites AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.751520Z

Source-reported events for the cited work

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Observation a9a88527-0406-4541-97ba-3c8c8541fbc6 · outbound

This paper cites Enhancing photorealism enhancement.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Enhancing photorealism enhancement

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.231474Z

Source-reported events for the cited work

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Observation fc2e08bc-4626-46d4-8065-5e86c4f89193 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration High-resolution image synthesis with latent diffusion models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.759525Z

Source-reported events for the cited work

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Observation 38b1c75a-d639-4169-a545-3adbce790d2a · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.763565Z

Source-reported events for the cited work

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Observation e6bbc37e-70b7-4080-9ba3-b3b25f6af794 · outbound

This paper cites Human-aware motion deblurring.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Human-aware motion deblurring

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.767411Z

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Observation f11d326e-58a0-4c65-baae-5c18a2d1a006 · outbound

This paper cites Diversity is definitely needed: Improving model-agnostic zero-shot classification via stable diffusion.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Diversity is definitely needed: Improving model-agnostic zero-shot classification via stable diffusion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.200081Z

Source-reported events for the cited work

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Observation adb3b119-1255-4cda-bc58-71866dbebfb1 · outbound

This paper cites Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.775220Z

Source-reported events for the cited work

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Observation 62f81b8a-a294-4a99-b8a7-520e785b2085 · outbound

This paper cites Satsynth: Augmenting image-mask pairs through diffusion models for aerial semantic segmentation.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Satsynth: Augmenting image-mask pairs through diffusion models for aerial semantic segmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.188631Z

Source-reported events for the cited work

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Observation 8f0cde27-bdb9-41bc-aa96-76aa48cf695d · outbound

This paper cites Jose Valanarasu, R.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Jose Valanarasu, R

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.177653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86f46554-8014-491f-96fe-a83827ebd2ee · outbound

This paper cites an unresolved cited work.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:54:36.166792Z

Source-reported events for the cited work

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Observation 80afdfe5-a982-4c78-95b6-72817bd8ced5 · outbound

This paper cites Deep Retinex Decomposition for Low-Light Enhancement.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Deep Retinex Decomposition for Low-Light Enhancement

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.791250Z

Source-reported events for the cited work

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Observation 991c49ec-7579-4b2c-8fe1-a30295874a5a · outbound

This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.795083Z

Source-reported events for the cited work

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Observation 6292e53b-dc96-4a8d-9639-a979e2c18f5b · outbound

This paper cites Simmim: A simple framework for masked image modeling.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Simmim: A simple framework for masked image modeling

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.799106Z

Source-reported events for the cited work

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Observation 16c72064-dfdc-49f8-b9a8-21276d992a87 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Depth anything: Unleashing the power of large-scale unlabeled data

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.802785Z

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Observation b8674556-7af8-4bfa-a03b-661e187c4376 · outbound

This paper cites Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Uncertainty guided multi-scale residual learning-using a cycle spinning cnn for single image de-raining

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.135854Z

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Observation 87d35d60-bd10-4e5a-9a9c-9781aaf794fd · outbound

This paper cites Confidence measure guided single image de-raining.IEEE Transactions on Image Processing, 29:4544–4555, 2020.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Confidence measure guided single image de-raining.IEEE Transactions on Image Processing, 29:4544–4555, 2020

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.125176Z

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Observation 4f209833-a8fe-48fc-81b2-39b60707fd80 · outbound

This paper cites One-step diffusion with distribution matching distillation.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration One-step diffusion with distribution matching distillation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.814433Z

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Observation d123fbc9-7b84-47c0-8748-5f81d69dea84 · outbound

This paper cites Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-12T11:54:35.885051Z

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Observation 8153a3ee-0874-41e9-9ffa-01e889b9cd9f · outbound

This paper cites Multi-stage progressive image restoration.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Multi-stage progressive image restoration

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T11:54:35.822165Z

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Observation f3e860ef-af60-47be-b5de-8e597fd5cb84 · outbound

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

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.100817Z

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Observation 00d39edf-3bab-4dff-8eae-42e272402d38 · outbound

This paper cites an unresolved cited work.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-12T11:54:36.089624Z

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Observation ecbed418-1423-44b8-9be9-e7a8b4050be8 · outbound

This paper cites Deep dense multi-scale network for snow removal using semantic and depth priors.IEEE Transactions on Image Processing, 30:7419–7431, 2021.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Deep dense multi-scale network for snow removal using semantic and depth priors.IEEE Transactions on Image Processing, 30:7419–7431, 2021

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.078526Z

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Observation e050ce12-36d0-4724-b6f8-3c7656cf9555 · outbound

This paper cites Learning to restore hazy video: A new real-world dataset and a new method.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Learning to restore hazy video: A new real-world dataset and a new method

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.066427Z

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Observation bbb48279-396f-43f5-908a-966ad318b464 · outbound

This paper cites Label freedom: Stable dif- fusion for remote sensing image semantic segmentation data generation.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Label freedom: Stable dif- fusion for remote sensing image semantic segmentation data generation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.053864Z

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Observation 16ea7c23-05c1-41df-a231-34d820c05147 · outbound

This paper cites Selective hourglass mapping for universal image restoration based on diffusion model.

GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration Selective hourglass mapping for universal image restoration based on diffusion model

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:54:36.041044Z

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Pith citing papers

Observation 50e1f772-454f-4070-88ce-739886c988ac · inbound

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models cites this paper.

IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models GenDeg: Diffusion-based Degradation Synthesis for Generalizable All-In-One Image Restoration

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:34:12.525539Z

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