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Paper Citation Record · LEDGER

Residual Diffusion Bridge Model for Image Restoration

As of 3 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 2026-08-03T06:30:56.289259+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
local_arxiv, observed 2026-05-18T04:40:53.267107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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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verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.378914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:3bb1a0b2997a41a0b52f3e1d89bf330e3d6c10f4b14f1a47ac7c9f44c013a351

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 2026-08-03T06:30:56.289259+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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verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.297735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:657dde6aa688ca2eecf672ff1547aa13afb1936109189962566c68b88adaca6b

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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verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.300932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:183978864a3e7f3d97f8ea004c0b3713f7de0397b9ccfe057a6056acd5dcfb34

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:e950621f9f335cec4369f96ecd9556eb88fec17e6d6a4e357c499c3c37bc2e2c

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:e7d89cfc189013a8cafc2812df9ee9c2891aa0709933920d6fca0d9ad5f1cd54

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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raw_fallback, observed 2026-05-18T04:40:54.304215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:18777a5d20316615c1929a321199a09ec8a1fd82e6bc864ee741d1f7dfb428bc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.354561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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

Resolution
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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:4289dbed5d49a81341d29558b0cec3969f0b9bcf83abe5618724167bb286ed25

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:442fd240dccba205dc8a7f971a375ea8fd82c5d21ddc2d3e032d569ca5123d6f

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:7c6d6a5bbb624e3f1f3683219183415a6cf4ca83ee442a583a2fc5038d7514f5

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2b7a45919859343927278dd0a8aaecc4a445d7e50c361aafca98655ea95c6067

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

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T04:40:54.288726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:f41fcdf38f277b32322c68ff7784959ab57a4d606d0000b0769f01d78c2133cf

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:f892a65f4ddd6625b1cf79e231b414de97c1002bfea0b0033c6331a15d4d8c4a

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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:6bc8a5244e0c0ffca555ec668973755f827fbb56765ffd25c0d17251eb13e636

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:83644f0540043a32ad214075c53b67cb226fbcf2f6ed940f7b3a2b244e2e48e0

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:8df45b16e24da39baa8fc759745f2d851c1f8f03d9b0ffe0611d21119fa1b392

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d75ee0d485fe2dc2f8f0e2928911452b2b366dd712777175dd6c72a60efab6cf

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

Resolution
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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:16bb1d650e7853dee331f6fd6b5ae41f0395f46217a0b9a950cd9ec351c2cebd

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:efbede5c0efd48021a7d61e3bde9e0ad10fc70a6d6d9f5a8c75ddfc701ebab92

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:327982e31eff47479f80dd44d8da3ce6c776225cd1dc8b31cb92fbda710eb10b

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2e55aefc39c3ebcb355cd777b085d41deb0bd1c9dd340301d350aa088bd7fa3a

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:b4d0e142e1dfca625593c0eed40d62a75607ccdeedd390b43c064c2d7d5d2f93

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:fee73684e5b9bfb1ed37e6d39b0474bf7c9e72c18e5c1eba35ac1154f51e5878

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d8a1db93630bff5ac9381ed669e8176557fe8dbea22606a412ad04d2d65cab0b

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d3f92cc48466d8c0f6b16ee06787b7bf97c20cd54fa71e4ac949256dd0ec6c66

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:4d03f4bae73f76d6898dc15a21dfbf99b29380d7f30d568eb22e2246fd4292b1

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:c8e52ecdd3dfca83476a91237f5dab8be038c05312c9c0f570931e125e8639bf

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:5bc02fcdc1dae96d196b4484d208620f34758efac1af41bf4b0887adea6f4fba

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:a15d23fa35be5dbda73109c94302bcce5506efd0141d5b63fd8672ee571cbdce

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:61ab80b8a6fe78a325f90330ea7b0e4c1ce8dd46a51d6b92273bbf0454de9ea5

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:1f41ddd3430253811906a599dff4b28a62605a24937f241ff358f0afbd6935ca

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:a5042af587219f59fecfff2f98bae40a30c12fff5f7d8e40c3b252f5eae0f3e2

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:7c42926a3f28cbd84dd0fa3cc9c6da1da830e396e6c21a396e9137fd1bb8be13

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:156ca914c74b7585d465fe04a57972996e732addf1ed6169c76e0886f4002fea

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:adf6ce1628e11ad46689135c824eb553c37ba5e02cb6f42dabbed7e95ed5e8a5

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:c31f4ce855f91d20d0fadfae2172485739d2aa6b29816692bb681e555d8171b0

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:630ef2844400513d1694f2201ccf980d1fd16947aaf9e8fc7b7cb9af3c1a992f

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:59cf0686a150c856289520892d20f094ba49f89141a27208b1bdb77aba3c625e

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:35049b3e4e8bfdee55caeec47ba6df79897f73fb6f6371fd943ba73802bc361a

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:7fbadf9e8a58cccf92f6b593956085ac0f60828c15d8698b573bbcc7e02d588e

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d73c1f84bb2a42a52920f238319f3dc8d0a2084291f0438622c9f839d4ec6afa

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:16813d26d7b95f9056ff1d9ca5fc3325a0bc709abbd5c27af56818a45a3f451f

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ca4248810e6379636decbf334d7f2064cc1fb88811daea742d8a36f6bc9fde23

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:230a70f70ea65a6ed518540a1813205f2104ca53bfd75657227b1ac8535060d4

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:13bdd7d176908a92223e1d73ebd5e3800c85d61589f079775815a9cf66fbb136

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:133fbc9b572d47afb0ee59687309c806387adb73db636a594b8aa0a72787a93c

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ee462a89bdc95a4a2971ddc9cebdfed0eb49b290ede8f94370637acc4f36b75f

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:513845f578b7dc261f32ce20fdb7c227a30afc308156dd8bc3c94fb8d93c29a2

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:deaa7f9161eab37e3c0d3fe6a60a9b8e9b6fb34dcd0e9770d1034e2d6f798b69

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:98b515e94585c07896e8aeccf61589fd988613ac3e6364711ee7efe319abea31

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:36dd2f10eb6b359c3358c59d17d965e0eaa8e44deed00042678d826e94841af7

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:492896dce2d26b50b9f7755ef5802573b5ba19b222a524c420fac33785e4760e

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2f97147655ed195d51db75de0c8bc0d69ca66e4ef091f83a501467f3eed1f23b

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:6384142f78f0f144b47ff8b0a07c2368a43a2a618b8914e706baeef7b06e1be8

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:87ef08f908268d17e0505d7a1b6405c5630991ceefb2e78d391bb15ced5aae7b

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2472e4f06d06cc258577b46ae676dcb5eaa4957c5440de75dc924f84427c7368

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:89a1aeeb4a5c32132d130bb2ab845318a90e6de453e8a48e3259139044cadfcf

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:e442e7e9a9b4667f956fb72d36aed5d077de6091be44c884daa4d024c2366578

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:12ef09a19d6fe7f78dcf8dc6cf55009ac0bc9fb8897f9c4383e806d24c813d5f

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d42b83132244e445ce6cb31b2a4e9ef214e64e61d673387f71f0c584732cde28

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:63e317319682e13295f634de7f4604df7f624e7aa0ae42a00f37bc2660f5dcba

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:57da6426c59f8d3597ff9b284bc6ebef8eb31721ae8a2e9a7de59e743127fb4e

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:9a24bbea2c80d7d890994faf18c3b8c41d981a2186a512afe992c869bb87cffd

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:0e8c4345128021ee3f829409b4f3bc552a4e9e0bd3c096d67a8e94cc8eab65f8

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:4558e2ecebdc07ef5a9fa15a9a6a9796d043d0a1a2b93b97ce51ce7908ffebce

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:9a03cf87a48bcdb56f6b803558e1542abb1977801e19fdec7321171c26e27161

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:a157b15a3380de0ea327d26eb911f930c8e65d813b18552c3ccfad991f8a4ac4

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2767c5e08c2e73e91568d7e459fb6d2461dc7491e76bfcd36abb5fde5bc945c6

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:ea4f630042d39e43e012990e359bd8bd0441c270bddc25110c228315f3027008

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:9e8c7e20e6de38087db855ea454db9357bda0bb80a1d64d84207b4adec366eb6

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:349a7d7179bee72146df2fa6215217b7beed70f20b6b481addd307eecf772d82

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:dc24b610c37ffdc24126f5a83fae53bcfb55fe4c5e7d7b67c0754da628f8d545

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:3ce040826b112b3612fe30dda2eb66e2c04f818ebed6d0dc31bd4b883bc9ae8c

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:3610cc51ee5c4fcafafb8d22b9abe6e32b715129f61b6ee1f699bf3be62ba1df

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:432b0fc85613326525a097c5494c636043dedd3f860f46282c8059d10b62ccd0

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:01d81a7d00c1bdef3ca0c714a75cc20aafd9705622169bab9f062e724a1a4e62

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:2ad6ce7e572d752c07c0278331f577f0f22c49db55bee477b81ecde7a833e8f7

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:41f07535c4e81bf2a8dc7129c99a600a8b25ff7e28461c2cd144814719973ad4

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:e49ce9ea19e8d2eb1c750fed789a64494996daf2f49860ea7043e466f2b0f2f3

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T04:38:07.681916Z digest=sha256:d344a5237c0090c2e0e2ca5a209cad6ae4f99c6ac528ea4b03a0709b8bcfcf38

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 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-21T14:00:00.292925Z digest=sha256:069f16d3c017bb906ca71492a085119774d77e579dc259b4d8d1f788945ebf65

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