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Paper Citation Record · LEDGER

Residual Diffusion Bridge Model for Image Restoration

As of 4 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 3 inbound Pith citation observations for arXiv:2510.23116.

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

pith.paper-citation-record.v1
2510.23116 v4

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T04:38:07.681916Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:05:48.653414Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T14:00:12.968993Z

Reference resolution

88 of 88 outbound references displayed

  • verified exact7
  • verified fuzzy79
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 229d5e53-3b70-4ee1-90b3-2dd9c4a61666 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Residual Diffusion Bridge Model for Image Restoration Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 1

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation acc1966c-9fda-4c75-afbc-f87a1e5122a9 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 72a531f1-21b4-4f57-8aa6-9637f2ea2c70 · outbound

This paper cites Ancuti, Cosmin Ancuti, and Radu Timo- fte.

Residual Diffusion Bridge Model for Image Restoration Ancuti, Cosmin Ancuti, and Radu Timo- fte

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ed5c3d4a-699a-4881-b439-80e7125df7c7 · outbound

This paper cites Not just streaks: Towards ground truth for single image deraining.

Residual Diffusion Bridge Model for Image Restoration Not just streaks: Towards ground truth for single image deraining

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ae09b37ead8fd2ad146ef12115ef33b2819a0488ae0d02aa78eadf38d6309f77

Observation 16b3db08-4da2-4ae0-a8bf-ff2c887ef15f · outbound

This paper cites Cold diffusion: Inverting arbitrary im- age transforms without noise.NeurIPS, 36:41259–41282.

Residual Diffusion Bridge Model for Image Restoration Cold diffusion: Inverting arbitrary im- age transforms without noise.NeurIPS, 36:41259–41282

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:f5cd5632f98100c8f8b7796df37633f65ab13c6b70914f062dc2cce802daee59

Observation e243a2fd-d549-4e8f-9548-39987e42af46 · outbound

This paper cites All snow re- moved: Single image desnowing algorithm using hierarchi- cal dual-tree complex wavelet representation and contradict channel loss.

Residual Diffusion Bridge Model for Image Restoration All snow re- moved: Single image desnowing algorithm using hierarchi- cal dual-tree complex wavelet representation and contradict channel loss

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:88f8b1416c2608a9fe15fd14ff8169a2cde3bf81ef8c4be24b881a2395f672e4

Observation da1cfd50-8f26-44eb-a2a8-3f3c13660566 · outbound

This paper cites Towards unified deep image deraining: A survey and a new benchmark.IEEE TPAMI.

Residual Diffusion Bridge Model for Image Restoration Towards unified deep image deraining: A survey and a new benchmark.IEEE TPAMI

Reference 7

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raw_fallback, observed 2026-05-18T04:40:54.294621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2ae9625092d026286ced247c8b4a95fc4c232c26a2bbe98fdc5dc37adf835e21

Observation 8ce0a4cd-351e-4954-b49e-b415e2625e66 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Parallel diffusion models of operator and image for blind inverse problems

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation cf69d167-c27d-4758-8bd8-05cebd3e9b1d · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Residual Diffusion Bridge Model for Image Restoration Diffusion pos- terior sampling for general noisy inverse problems

Reference 9

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raw_fallback, observed 2026-05-18T04:40:54.311020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 50528027-ca99-408c-b58a-72a21d00671b · outbound

This paper cites an unresolved cited work.

Residual Diffusion Bridge Model for Image Restoration Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 00dd8eea-7ae7-4b0d-a53e-4de12f64ff57 · outbound

This paper cites Revitalizing convolutional network for image restoration.

Residual Diffusion Bridge Model for Image Restoration Revitalizing convolutional network for image restoration

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 543619e9-46ed-4cfa-b5e9-26ded92b4f5c · outbound

This paper cites Deepsn-net: Deep semi-smooth newton driven net- work for blind image restoration.IEEE TPAMI.

Residual Diffusion Bridge Model for Image Restoration Deepsn-net: Deep semi-smooth newton driven net- work for blind image restoration.IEEE TPAMI

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 744e40b3-a5b7-4209-b2a9-12e4c9f036c5 · outbound

This paper cites Recent advances in image dehazing: Formal analysis to automated approaches.Information Fu- sion, 104:102151.

Residual Diffusion Bridge Model for Image Restoration Recent advances in image dehazing: Formal analysis to automated approaches.Information Fu- sion, 104:102151

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 1b589a76-e3f1-4601-bcb7-cfe296579e8f · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.NeurIPS, 30.

Residual Diffusion Bridge Model for Image Restoration Gans trained by a two time-scale update rule converge to a local nash equilib- rium.NeurIPS, 30

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.360437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8cc0a66db4fea914c7c8677823688f206b06ef299fa39d46ff202542af80159e

Observation 2c2b3544-8132-4571-afad-8acf678848fd · outbound

This paper cites Denoising diffu- sion probabilistic models.NeurIPS, 33:6840–6851.

Residual Diffusion Bridge Model for Image Restoration Denoising diffu- sion probabilistic models.NeurIPS, 33:6840–6851

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.329818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:dfc4d7a85f7b1b9cb4e3941f3cd92427527f7d10aea0872734cbc5c3d3dad154

Observation a03fa929-0188-412e-9cdb-aa540573d3e7 · outbound

This paper cites Scope of va- lidity of psnr in image/video quality assessment.Electron.

Residual Diffusion Bridge Model for Image Restoration Scope of va- lidity of psnr in image/video quality assessment.Electron

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 8dc6993d-37bb-4c56-95ff-e69eefebb15d · outbound

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

Residual Diffusion Bridge Model for Image Restoration Image-to-image translation with conditional adver- sarial networks

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 432cce95-0aed-4fa4-96af-9f1c86d9ace5 · outbound

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

Residual Diffusion Bridge Model for Image Restoration A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:40:53.261887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 3da10c43-78ff-4576-9d71-de888f8ac873 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Multi-scale progressive fusion network for single image deraining

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation ebde8c50-913f-47fb-a09b-26786bff359c · outbound

This paper cites Autodir: Automatic all-in-one image restoration with latent diffusion.

Residual Diffusion Bridge Model for Image Restoration Autodir: Automatic all-in-one image restoration with latent diffusion

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.275089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:cbdc1e230ca57dad0c57a7aec3a3986917c214720b31bc8409e2d460ed9041da

Observation 687f3a22-1916-41a2-ada3-071e829e3216 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation.

Residual Diffusion Bridge Model for Image Restoration Progressive growing of gans for improved quality, stability, and variation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.277722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 76f6ab6e-0541-4c60-9d9a-f18e089bc252 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.NeurIPS, 35:26565–26577.

Residual Diffusion Bridge Model for Image Restoration Elucidating the design space of diffusion-based generative models.NeurIPS, 35:26565–26577

Reference 22

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raw_fallback, observed 2026-05-18T04:40:54.283141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 14b2c8f2-4cff-432f-881c-ec727643950a · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Residual Diffusion Bridge Model for Image Restoration Analyzing and improving the training dynamics of diffusion models

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.145138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:920de42f2afa0e38348a2899db632668ac2c5b458e1aa35485b1880a1ff83153

Observation b7d793e1-921f-447f-bbcc-c6257a04fba3 · outbound

This paper cites Frequency- aware event-based video deblurring for real-world motion blur.

Residual Diffusion Bridge Model for Image Restoration Frequency- aware event-based video deblurring for real-world motion blur

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.375885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:f82f1cea5e074baf75081f28c940440409f40ad1839682a4893ec87b7b3997ed

Observation a5d016c1-ee79-4c00-8ad4-0493117b989c · outbound

This paper cites Auto-encoding varia- tional{Bayes}.

Residual Diffusion Bridge Model for Image Restoration Auto-encoding varia- tional{Bayes}

Reference 25

Resolution
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raw_fallback, observed 2026-05-18T04:40:54.369555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d46f8265eb967df91882633c0baddb07c2e765cd3018d5d3ef967aeffcec4b12

Observation 248d522a-010a-4b28-8c99-6dece7f0205f · outbound

This paper cites Contrast en- hancement based on layered difference representation of 2d histograms.IEEE TIP, 22(12):5372–5384.

Residual Diffusion Bridge Model for Image Restoration Contrast en- hancement based on layered difference representation of 2d histograms.IEEE TIP, 22(12):5372–5384

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.249614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:93821fbed66b4297bb98e75704ceb1a2fd0e1ea66d29de1ca0780adc08ccb22b

Observation dca3d6c7-739f-495e-9052-01b2c6889c8c · outbound

This paper cites Benchmarking single- image dehazing and beyond.IEEE TIP, 28(1):492–505.

Residual Diffusion Bridge Model for Image Restoration Benchmarking single- image dehazing and beyond.IEEE TIP, 28(1):492–505

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.252712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8adfc68ad66cd178a2ce7e4adf3dd17c7c9ca6c6e9c87502c74d39e884ea65c2

Observation 990b3d8f-a4ad-48c7-b98d-c71f91012325 · outbound

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

Residual Diffusion Bridge Model for Image Restoration All-in-one image restoration for unknown cor- ruption

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.262237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:83f2538679ff014a9b08e77557f8c0e6bb58705a0353b178964915497d988670

Observation 147fbca0-2837-406b-b5a7-ee4ce3264a8d · outbound

This paper cites Bbdm: Image- to-image translation with brownian bridge diffusion models.

Residual Diffusion Bridge Model for Image Restoration Bbdm: Image- to-image translation with brownian bridge diffusion models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.268255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:365045419482368b33d15647009a3eaf2c458d849e223a3416e7ad9fba32636e

Observation 3687dc45-8583-4154-b9eb-1706537ac3aa · outbound

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

Residual Diffusion Bridge Model for Image Restoration Mair: A locality-and continuity- preserving mamba for image restoration

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.286130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:82135956598c52473e886d519aaf9b1099dc29d5099967513ca6e9b5585daf85

Observation ddc9b265-0c3b-4322-8702-be8c563b8565 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Toward Real-world Single Image Deraining: A New Benchmark and Beyond

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:40:53.255553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:6f4d59d9ae4e9096a528c9a3daa3176ad964c134c0a24a8bb5093f60ca921a3a

Observation 091ed43f-e7de-49ea-9887-e58b83d6097d · outbound

This paper cites Flow matching for generative mod- eling.

Residual Diffusion Bridge Model for Image Restoration Flow matching for generative mod- eling

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.231168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:0c79b38449400b961ddae580c1a970f1a9cf4f98e8d67b6342ed6c499f5e7e3f

Observation 419156d3-6845-441a-ba64-48dca9766044 · outbound

This paper cites Image inpainting for ir- regular holes using partial convolutions.

Residual Diffusion Bridge Model for Image Restoration Image inpainting for ir- regular holes using partial convolutions

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.234081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:54e07acdd04949d2039f21aeefed3703400ff4567dd44feb999597ae70cdf77a

Observation 56b66f7e-1826-4507-a3b4-1003326d250f · outbound

This paper cites I2sb: image-to-image schrodinger bridge.

Residual Diffusion Bridge Model for Image Restoration I2sb: image-to-image schrodinger bridge

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.243759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:942524f8668e4c9e8268d6af13232a4fc8cb9ad49bbe25f1b0897edd0c0417f6

Observation f910cba7-97db-4c39-9eb8-d42ec6d423ea · outbound

This paper cites Benchmarking low-light image enhance- ment and beyond.International Journal of Computer Vision, 129:1153–1184.

Residual Diffusion Bridge Model for Image Restoration Benchmarking low-light image enhance- ment and beyond.International Journal of Computer Vision, 129:1153–1184

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.215815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:89aed7fcb84ed88ceb2ae74b203a102238be743356a8fa5cf23dc4a144cd953d

Observation 08ddb3c4-c3fe-411e-b734-c94c9331e703 · outbound

This paper cites Residual denoising diffu- sion models.

Residual Diffusion Bridge Model for Image Restoration Residual denoising diffu- sion models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.225756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:13a67a3aee1c452541b3fde4d6fdc16758449d47503f86fbd9ab4a483d65b17b

Observation e6a4d9c5-ac5f-403c-9519-f8480c5d38c9 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Residual Diffusion Bridge Model for Image Restoration Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.246578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:7fbe006224bcbbb182c7ada6de388fa7c5798374554ca1f706e524e0a912e606

Observation 1c6aa2cb-fbed-4a91-b5a1-db7093fd6233 · outbound

This paper cites Desnownet: Context-aware deep network for snow removal.IEEE TIP, 27(6):3064–3073.

Residual Diffusion Bridge Model for Image Restoration Desnownet: Context-aware deep network for snow removal.IEEE TIP, 27(6):3064–3073

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.307355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:1945d8d9fab228cdacd7c656c0aaa8461af86cf6340034d029c0c0346f00fc28

Observation 5c6a2ef1-f03f-4fa7-9824-16526eb298dd · outbound

This paper cites Diff-instruct: A universal approach for transferring knowledge from pre-trained diffu- sion models.NeurIPS, 36:76525–76546.

Residual Diffusion Bridge Model for Image Restoration Diff-instruct: A universal approach for transferring knowledge from pre-trained diffu- sion models.NeurIPS, 36:76525–76546

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.320520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d3413f2e6ed732c3bc79f5eec54bbe8d96a74a6f50560b6aeca9f8208e070e2d

Observation 33a1eff1-8cad-4929-84ae-9787f2894775 · outbound

This paper cites Image restoration with mean-reverting stochastic differential equations.

Residual Diffusion Bridge Model for Image Restoration Image restoration with mean-reverting stochastic differential equations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.323481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:7c42eb225dbd62c7e5bb383c826b4ad9472a9d4322b38d824e739689347d6a0b

Observation 4dfb622c-72cc-488c-976c-bcb00e753a05 · outbound

This paper cites Controlling vision-language models for multi-task image restoration.

Residual Diffusion Bridge Model for Image Restoration Controlling vision-language models for multi-task image restoration

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.148264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:27d988273d71c1dae3cb81d6a6799b94f11ba7152d9dbcfa3c909d29179fd7b3

Observation ca0f456d-049a-447b-b34e-64fbba98e6a2 · outbound

This paper cites Taming diffusion models for image restoration: a review.Philosophical Transactions A, 383 (2299):20240358.

Residual Diffusion Bridge Model for Image Restoration Taming diffusion models for image restoration: a review.Philosophical Transactions A, 383 (2299):20240358

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.198170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:60511abf81ed7cd05c2ad253b167b895705264eb7099e541564f528e6e99cdc6

Observation d173ddaf-23a9-4de2-9a6a-c5bf2f746415 · outbound

This paper cites Prores: Exploring degradation-aware visual prompt for universal image restora- tion.CoRR.

Residual Diffusion Bridge Model for Image Restoration Prores: Exploring degradation-aware visual prompt for universal image restora- tion.CoRR

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.213038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:fce32e11782589bb811b2feb96836814b291dc463273fc6ad624fc0415de4df9

Observation 115610cd-df94-45cd-95cc-a91ee2829129 · outbound

This paper cites Perceptual quality assessment for multi-exposure image fusion.IEEE TIP, 24 (11):3345–3356.

Residual Diffusion Bridge Model for Image Restoration Perceptual quality assessment for multi-exposure image fusion.IEEE TIP, 24 (11):3345–3356

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.255959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:b512ef21f2100c10412b96679fab916fae2055e75553249e3df6f6df71fbba40

Observation fe0b117d-4d1c-45e2-89be-5f885f6421e7 · outbound

This paper cites Efficient diffusion models: A com- prehensive survey from principles to practices.IEEE TPAMI.

Residual Diffusion Bridge Model for Image Restoration Efficient diffusion models: A com- prehensive survey from principles to practices.IEEE TPAMI

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.259260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:0970b3926e0b7571258f370abb0adf6802868d87db162b559801a6d41be41da7

Observation b0e8833e-4392-415b-a264-6a6fd1c2ab88 · outbound

This paper cites Restorex-ai: A contrastive approach towards guid- ing image restoration via explainable ai systems.

Residual Diffusion Bridge Model for Image Restoration Restorex-ai: A contrastive approach towards guid- ing image restoration via explainable ai systems

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.189629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:077223a3dabbb5d58e1eb3b900a05343215a363177d4261247132aeac09e0d94

Observation 5ef721f7-6fd7-43bd-bd10-16fae5a799a5 · outbound

This paper cites completely blind.

Residual Diffusion Bridge Model for Image Restoration completely blind

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.155019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:744454919b8a12b19daa96d17ac771e6ff4d8646940b9a53002c6181d059bb9e

Observation f930b9e9-542a-4893-9817-168be71fd3e7 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.265114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:f60d9eefe844a6ac69405f45c90bc5af9905fedb44ee017fdf21a84c1368c701

Observation f292c8cf-85c6-4125-84f0-f70cf95e86c9 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Pytorch: An imperative style, high-performance deep learning library

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.363449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:4c5fba222d545f9ca37179b10791724da28c8e83f767e78f7854fa34ac3446d2

Observation 6f92000f-0502-424a-8438-fac169907565 · outbound

This paper cites Promptir: Prompting for all-in- one image restoration.NeurIPS, 36:71275–71293.

Residual Diffusion Bridge Model for Image Restoration Promptir: Prompting for all-in- one image restoration.NeurIPS, 36:71275–71293

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.192371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:44f1cfdd96e8784ef3baa4d1aadf1ac6dd2893dc324d2479ad4ff35fe15e3975

Observation f94d918d-4832-487b-8b0b-e95ef5d00025 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Attentive generative adversarial network for rain- drop removal from a single image

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.209949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:afa0a80417fb0b3a3f1b4857198edcb4902b3b7c91b748b1d4f5f400611dbedb

Observation b401955b-f7be-45dd-b112-e2c24830aa4a · outbound

This paper cites Awracle: All- weather image restoration using visual in-context learning.

Residual Diffusion Bridge Model for Image Restoration Awracle: All- weather image restoration using visual in-context learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.125353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:43af0e3f792975f16b1f7e0403f3ddc3799f0574f147895b42f6586c2b369bed

Observation ad1b74f8-7d13-44ab-b4ba-a51e57a64ad5 · outbound

This paper cites Real-world blur dataset for learning and benchmarking de- blurring algorithms.

Residual Diffusion Bridge Model for Image Restoration Real-world blur dataset for learning and benchmarking de- blurring algorithms

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.184773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:9a7f69ac91c9db60717dec62f96792db96c08ad3f1014ef885af7cabd216e465

Observation 0ee6e748-7976-451c-aaa7-111ed96d333a · outbound

This paper cites Fokker-planck equation.

Residual Diffusion Bridge Model for Image Restoration Fokker-planck equation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.204103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:0b94ad1d75cb5be96015f5ba5ae4001a3d67273caeb57d980d1bc780f9cd300a

Observation d7fcd226-1a7c-4242-88ec-125d69257fbb · outbound

This paper cites Cambridge university press.

Residual Diffusion Bridge Model for Image Restoration Cambridge university press

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.135126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:727991b5873d776b7fb89052945f122d4d6e8aff15624378bd795ce961316c7c

Observation 175511a3-424d-4917-9023-245ec8566cbb · outbound

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

Residual Diffusion Bridge Model for Image Restoration U-net: Convolutional networks for biomedical image segmentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.138524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:34e513fae7894adadd5f991416d45e05439b45520519d4605f2beb9398ec6af4

Observation 18728c32-7bc0-40e0-a910-84fd82520a70 · outbound

This paper cites Cambridge University Press.

Residual Diffusion Bridge Model for Image Restoration Cambridge University Press

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.128468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:6f30923af8f55f96357a48eb62293ebc54228e5145c05d2e294156328e9c853c

Observation 6b5da08f-b5b3-4d80-a5e7-60368ac8a707 · outbound

This paper cites Resfusion: Denoising dif- fusion probabilistic models for image restoration based on prior residual noise.NeurIPS, 37:130664–130693.

Residual Diffusion Bridge Model for Image Restoration Resfusion: Denoising dif- fusion probabilistic models for image restoration based on prior residual noise.NeurIPS, 37:130664–130693

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.131764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:5e0ef62d62d348bd1219097ff62c5ddb1284002fa8fe45868e982b9486cd2cd2

Observation b0e089f3-8ab8-4923-8611-0a42d434eb0b · outbound

This paper cites Learning to gener- ate images with perceptual similarity metrics.

Residual Diffusion Bridge Model for Image Restoration Learning to gener- ate images with perceptual similarity metrics

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.141676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:27b752e6c0e5c09a97f6ef444e68fd1b69db799f92af25f514df06348de71a05

Observation d45c4e52-8b55-401d-bcf1-ef52f6b48c95 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Residual Diffusion Bridge Model for Image Restoration Deep unsupervised learning using nonequilibrium thermodynamics

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.172085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:0ba487d5db40505c977552793a840cbc97dcf93a0efaef9443a6a9faac60a3b3

Observation f5005694-cfd8-433f-ae66-b3f1ec587d4f · outbound

This paper cites Denois- ing diffusion implicit models.

Residual Diffusion Bridge Model for Image Restoration Denois- ing diffusion implicit models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.161302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:4a2210b87bbf0996ebdf6e4fbbf80bee22bb3663a488a5a5bf6a75ae757e95d3

Observation f8dc5365-0609-47c5-8c28-5a2881f29039 · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

Residual Diffusion Bridge Model for Image Restoration Score-based generative modeling through stochastic differential equa- tions

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.271547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:62471ad80d8adc8aa8b9f09322ab9e02026f3319296dac1c8420e5bdc5389cf2

Observation 746a11a1-9687-46d5-8af4-4aa47c6c2baf · outbound

This paper cites A cross trans- former for image denoising.Information Fusion, 102: 102043.

Residual Diffusion Bridge Model for Image Restoration A cross trans- former for image denoising.Information Fusion, 102: 102043

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.314525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:3418ac114010e549c8206290dfb00675cdee17589c91e7eb9e7bd14c12e33401

Observation c5b04e82-0a64-4e0e-ab5a-7e6b1f1e4a45 · outbound

This paper cites DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration.

Residual Diffusion Bridge Model for Image Restoration DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:40:53.278472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:a5575ce218633e826bba22ada80757e389833948558981b075f9d3614bfcbcec

Observation 586eb010-8383-4044-9a5d-faf6e61b650c · outbound

This paper cites Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey.

Residual Diffusion Bridge Model for Image Restoration Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:40:53.283462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ceb89225a829b2b863db6342dce882447fa2b603ee8bd5d035f7f22ca6b277d5

Observation db0aa2d7-f682-433e-820e-8667ddaf9fd3 · outbound

This paper cites Nat- uralness preserved enhancement algorithm for non-uniform illumination images.IEEE TIP, 22(9):3538–3548.

Residual Diffusion Bridge Model for Image Restoration Nat- uralness preserved enhancement algorithm for non-uniform illumination images.IEEE TIP, 22(9):3538–3548

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.348809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:72b006833486e97493418744efc59b42b2d61dd89183cba6c2bc8625c261438f

Observation ad3ed735-6c95-4e92-bfac-471bc3816546 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE TIP, 13(4):600–612.

Residual Diffusion Bridge Model for Image Restoration Image quality assessment: from error visibility to structural similarity.IEEE TIP, 13(4):600–612

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.218887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ae19aed19cfb49a553eddfaf64ecec261220ab8165ce612010a1a406648f0f05

Observation 6c91648b-7e66-435a-afb9-866dc4c31c95 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Deep Retinex Decomposition for Low-Light Enhancement

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:40:53.272756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:e78e3e69b68c9b493b917004972b2a06e3b4a922d993daa68314b5a0455b0379

Observation 59cb26ae-3a36-4b18-aea4-8ed3ac27d252 · outbound

This paper cites De- blurring via stochastic refinement.

Residual Diffusion Bridge Model for Image Restoration De- blurring via stochastic refinement

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.121440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:a52a855ff723419e56aea730da76e5a7be36a5622853ba22ce4da2c449477b45

Observation 1756b54a-68f3-4a40-b0e1-5903a96b14a7 · outbound

This paper cites Seesr: Towards semantics-aware real-world image super-resolution.

Residual Diffusion Bridge Model for Image Restoration Seesr: Towards semantics-aware real-world image super-resolution

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.237381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:53f45a89b992ffdd275c63164346b2f6f9ac17b62d6186f71e5ac59298af74ff

Observation 9ba85227-71d4-48db-8076-b38554f48468 · outbound

This paper cites Diffir: Efficient diffusion model for image restoration.

Residual Diffusion Bridge Model for Image Restoration Diffir: Efficient diffusion model for image restoration

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.351635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:c12bcbdf8344f5efa5ce6f5ecaacf166eb853e82f0dce34482aa9874bc8afcd1

Observation d6556c7a-bfc0-4c09-883a-608d765552ef · outbound

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

Residual Diffusion Bridge Model for Image Restoration Deep joint rain detection and removal from a single image

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.195268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:f562d97b35fb9059254f5683fa96bde397c9a33cdf40733c6b05db059650637b

Observation 8c9cfc0e-74dc-47b8-a5fc-0469b249290c · outbound

This paper cites Image restoration through generalized ornstein-uhlenbeck bridge.

Residual Diffusion Bridge Model for Image Restoration Image restoration through generalized ornstein-uhlenbeck bridge

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.207148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:29650740b0be7634e6aa512affed3415b06dbc18800f4381a708ccc0eb982180

Observation bc2e4ca0-6dc9-4ec7-8c3d-3b1a393980e9 · outbound

This paper cites Effi- cient diffusion model for image restoration by residual shift- ing.IEEE TPAMI.

Residual Diffusion Bridge Model for Image Restoration Effi- cient diffusion model for image restoration by residual shift- ing.IEEE TPAMI

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.164342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:84d47e904dcec3cc5c7bdce9c38f5bd4bcebf5ec3d22ad8728146fd81b5a89b2

Observation 1c5eca39-60d7-46a9-a2d2-67271adc0933 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Learning enriched features for real image restoration and enhancement

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.167823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8982642dcb0052500646e27c6aaaeca1aa4e1ffaaf2362fb077e90aaf62694cb

Observation e3e140f8-b2d2-4baf-b3c5-cd60b16e82a7 · outbound

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

Residual Diffusion Bridge Model for Image Restoration Restormer: Efficient transformer for high-resolution image restoration

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.180209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ed5401598beea9f27a27991d02de8b2d5861f26e2608ed566e3547030c76dbf8

Observation f835be08-ae9f-4c21-a89f-e308c9991475 · outbound

This paper cites Improving diffusion inverse problem solving with decoupled noise annealing.

Residual Diffusion Bridge Model for Image Restoration Improving diffusion inverse problem solving with decoupled noise annealing

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.201304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:3232c797a549cf7e063b322411ffbd45f02e0d50e3b2d836778f79486bb48f07

Observation 3859da48-ae5d-41aa-ad1a-7c0a2b29b3ca · outbound

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

Residual Diffusion Bridge Model for Image Restoration Density-aware single image de-raining using a multi-stream dense network

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.151814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8849f92f16a93544a955e2b81df24518d5d886985d02903c4095e226b5e04eb2

Observation 9a3779ac-6a53-4be2-8ac2-c0f76011f8ca · outbound

This paper cites Fast haze removal for nighttime image using maximum reflectance prior.

Residual Diffusion Bridge Model for Image Restoration Fast haze removal for nighttime image using maximum reflectance prior

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.240602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:459bd901faf6b92b6b2ae5a719ce3c01a2a4d28c51da8fda8f8cc1b665dddbf9

Observation 08c90444-795b-48a7-8605-daf4e0479834 · outbound

This paper cites Ingredient-oriented multi- degradation learning for image restoration.

Residual Diffusion Bridge Model for Image Restoration Ingredient-oriented multi- degradation learning for image restoration

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.157860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:45c540808503cff829e3da8606f69a9e1e47710b15a9a38b8af1d4c897c7aea9

Observation 5e3019f8-40a6-4c27-98e5-ccfb36a3f712 · outbound

This paper cites Ntire 2024 challenge on bracketing image restoration and enhancement: Datasets methods and results.

Residual Diffusion Bridge Model for Image Restoration Ntire 2024 challenge on bracketing image restoration and enhancement: Datasets methods and results

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.176057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8d21dcadc8509d05dc7dac5abe76256be311283b0169a6ff5635c85ae79d47a1

Observation 45e51dd2-b90b-4e17-81d9-2b920e1cad2a · outbound

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

Residual Diffusion Bridge Model for Image Restoration Selective hourglass mapping for universal image restoration based on diffusion model

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.357359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:a020581c09f60d271182d2d0fc17e386ec8a7b2cee18d2300af843965528e2e6

Observation 40d3c541-f9a1-44d7-9ea1-03d1a092887e · outbound

This paper cites Denoising diffusion bridge models.

Residual Diffusion Bridge Model for Image Restoration Denoising diffusion bridge models

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.342708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:89d323c7fbc74250e1c8166b3f6c5f5f5e3a90c31ff4892e8613cedd0c1f9e30

Observation c263dde6-922c-458a-973f-1aaf47215b1d · outbound

This paper cites Image restoration for under-display camera.

Residual Diffusion Bridge Model for Image Restoration Image restoration for under-display camera

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.345696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:3480d44380a603319f9ae77da532a0602e0db514d8d7241384d6348f708049fa

Observation 78dff88e-69ba-4653-b2e8-058c35b47aa8 · outbound

This paper cites Metaiqa: Deep meta-learning for no- reference image quality assessment.

Residual Diffusion Bridge Model for Image Restoration Metaiqa: Deep meta-learning for no- reference image quality assessment

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.333116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:c0216c114e30885aaff359aaec8ec13d9e1f00cf7f15a5b0788cacd937538a92

Observation 6859e55b-d735-4dfd-945d-5264a8e197b4 · outbound

This paper cites Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis.

Residual Diffusion Bridge Model for Image Restoration Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-06-09T02:06:06.603972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:b62f20ae3d2eaad19732a6b32684cf9b00d575b75118ccc5af8c16735f7eb435

Observation b7f42f4a-f5a2-4dad-9c85-c85ee3be481f · outbound

This paper cites Denoising diffu- sion models for plug-and-play image restoration.

Residual Diffusion Bridge Model for Image Restoration Denoising diffu- sion models for plug-and-play image restoration

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.336484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:94ead74804d9156d5571bf9f4e1b35bfd00f50e4082c1cb2b517ffc90e63cfcf

Observation 5d1ae2a2-0f40-4d00-b583-0ee24af9695a · outbound

This paper cites an unresolved cited work.

Residual Diffusion Bridge Model for Image Restoration Unresolved cited work

Reference 88

Resolution
malformed identifier
raw_fallback, observed 2026-05-18T04:40:54.339513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8297f81fa91e581688f4dafa912c32c4036c1188cc74417ece762e9ea2e8dc35

Pith citing papers

Observation dd6449f7-92d9-4990-8cc6-1db1966c8416 · inbound

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration cites this paper.

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration Residual Diffusion Bridge Model for Image Restoration

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-05-21T14:00:12.970847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T14:00:00.292925Z digest=sha256:f590c61ae0348e06136577e97936e59c44dfeaa11f08781ed83ba3bd2d8b1601

Observation 4fa36ef2-0577-494b-93f4-16e12bb455e8 · inbound

Universal Pansharpening Model cites this paper.

Universal Pansharpening Model Residual Diffusion Bridge Model for Image Restoration

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-02T19:05:48.653414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:05:48.653414Z digest=sha256:22179733626db8bd90073e4abee8f3b56a116e93c8c55aade9c083cde667c23a

Observation c97c6ced-96c9-4cb7-b1a7-ee3a54b23143 · inbound

ScaleResfusion: Residual Rectified Flow based on Residual Vector Field cites this paper.

ScaleResfusion: Residual Rectified Flow based on Residual Vector Field Residual Diffusion Bridge Model for Image Restoration

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T02:58:31.880917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:58:31.880917Z digest=sha256:ce26b88ea2f1758da5a486092885ab835ee4edaf826f703740622e05ba67647b