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Paper Citation Record · LEDGER

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.18674.

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

pith.paper-citation-record.v1
2505.18674 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:15.310799Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9a2d102-7a0e-4cfa-b3cb-31848a9fd79f · outbound

This paper cites Bringing old photos back to life,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Bringing old photos back to life,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7ce66bd4-e9b3-4b6d-91a1-1662c12c43a2 · outbound

This paper cites Pik-fix: Restoring and colorizing old photos,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Pik-fix: Restoring and colorizing old photos,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:20.474917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:12.403991Z digest=sha256:f0d1cc088319e72e98800467431f7099e1d64065327e0998e420664da6e56074

Observation 76021745-c52a-4a4d-afdf-070feb7f9d43 · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Esrgan: Enhanced super-resolution generative adversarial networks,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:20.144755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0dcd6d3f-43b1-4ac3-b2c6-61d02614a6dc · outbound

This paper cites Swinir: Image restoration using swin transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Swinir: Image restoration using swin transformer,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:12.563205Z digest=sha256:215bc0581cae89e9e7b7cf1bee9713202995e663597899371ab53c3674d92c33

Observation 46323d29-d342-455e-a34d-cafe84fc2c36 · outbound

This paper cites Denoising diffusion probabilistic models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Denoising diffusion probabilistic models,

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:12.656242Z digest=sha256:1ace07185e761df2396c7ccb1e61885a107d6a1a19eacb6f48d86efcfb385746

Observation 48261c58-97c9-4ada-a92f-9f6894cdd86d · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model High-resolution image synthesis with latent diffusion models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.756658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:12.724245Z digest=sha256:ca3a3460fe23cbec632045bbcf7ee5d0b2681c6422e4ef40e9057b8b16062fa2

Observation d520fa4c-a259-46d1-9d1d-e843f2aabaea · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Adding conditional control to text-to-image diffusion models,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:12.789523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:12.789523Z digest=sha256:c7aeba16cf266e248ac44339886c984ec68a0e8135be80561fffeb593ec0ac2b

Observation e6e6e9c0-117b-4a64-8013-e7cb918d1ae7 · outbound

This paper cites Image superresolution via iterative refinement,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Image superresolution via iterative refinement,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.641204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:12.858043Z digest=sha256:462161a470df8410360fffbcd8c874a7b4b1c9d74457c1388df70b50b7199bfe

Observation 0426be70-f3e2-47df-bb8a-8dc08936ad37 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.496940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:12.938639Z digest=sha256:f01a7bc142bd78a224ac1fc1cfb00bac628af40b24b77efc47fe15a2e4ff0617

Observation 3da1446c-ee4a-45f0-b224-8e3720bbe8cf · outbound

This paper cites Deblurring via stochastic refinement,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Deblurring via stochastic refinement,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.361339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.006994Z digest=sha256:fc8ca37a8eb032b1e370bccb07d881d9498ca19fa1a67ca40306cc42ee93f843

Observation 36e7a21a-aff4-4b80-ac1d-01000fa4cd4f · outbound

This paper cites ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:13.104272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:13.104272Z digest=sha256:3df16347e69d3903fd9653335f870ccb293a4872112587f1eee36be31ead2d17

Observation d2e57624-1b10-4b9b-a97c-54970105909f · outbound

This paper cites Generative diffusion prior for unified image restoration and enhancement,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Generative diffusion prior for unified image restoration and enhancement,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.264077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.166717Z digest=sha256:c1d7553a8b402130b8bc066a4ae950e1013cbd5b238aa0103c52946476c1214a

Observation 4694b58e-94ff-4339-9688-002faab9f990 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Exploiting diffusion prior for real-world image super-resolution,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:19.121005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.258385Z digest=sha256:3ce8b32144e4c6af529c8c7b3193298920599d9966db82bfb5eb61fd0beef406

Observation 184eb82c-28c3-4e33-829e-e31750bc5fe1 · outbound

This paper cites Denoising Diffusion Implicit Models.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Denoising Diffusion Implicit Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:13.323081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:13.323081Z digest=sha256:46a960e5f8f56990cf6a1958aaafa7bcdb8b552411f28eb1db1ab1a603f08036

Observation f627b529-9292-4ae7-8c21-c23da413ddbc · outbound

This paper cites Image super-resolution using deep convolutional networks,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Image super-resolution using deep convolutional networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.976525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.385753Z digest=sha256:65bdcd0115c28a6bd3906f89352f0db25f59d9152563d24c49aec40e4726c7ff

Observation 8f23b2e0-5154-48d3-818a-f034e074f5a2 · outbound

This paper cites Compression artifacts reduction by a deep convolutional network,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Compression artifacts reduction by a deep convolutional network,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.827348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.463034Z digest=sha256:53f80397ff3a6597bceba3c399c27040ed4b9fede9ae63d838cfe2f2bcd725f4

Observation 87f777d0-709d-45ab-9fae-f4c360fc4173 · outbound

This paper cites Attention is all you need,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Attention is all you need,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.692307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9a60df31-4c16-4f1a-a857-32cd1164a1db · outbound

This paper cites Pre-trained image processing transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Pre-trained image processing transformer,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.574572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8f49671b-dc29-4738-b8be-e6f0e38f5624 · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Restormer: Efficient transformer for high-resolution image restoration,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.429614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.704858Z digest=sha256:27153e9b2b466da6d2d1218df5d6c44d2e98a07f40c9681f3f7f2cc55816eb82

Observation 8d8f4d37-4dee-49bc-82c0-d1b5feae7204 · outbound

This paper cites Gen- erative adversarial nets,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Gen- erative adversarial nets,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.772498Z digest=sha256:7a50756ac635ee4b26126bb735ed494c5ecc5c368092815dc0d7c37f669cbe4e

Observation 03dd7916-9b90-436f-bb8b-c30dd99c5fd3 · outbound

This paper cites Diffusart: Enhancing line art colorization with conditional diffusion models,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Diffusart: Enhancing line art colorization with conditional diffusion models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.141082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.884319Z digest=sha256:22d1d599b169a779949a9869144d9941bfd0a8dec5aaac1fa61b8a06a4ce9399

Observation 5611785f-40dd-4a6b-9625-7e754ca9dc8c · outbound

This paper cites Sinsr: Diffusion-based image super-resolution in a single step,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Sinsr: Diffusion-based image super-resolution in a single step,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:18.010471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:13.959125Z digest=sha256:340e1be3d0e2d0892520bf0c63ad701d32a0f4a1bdabbac1e0e50c698f5fb052

Observation 6f304128-173b-4bb0-ba8e-5b39776de4a4 · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Diffir: Efficient diffusion model for image restoration,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.888238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.017658Z digest=sha256:d2f1a1154ff9b9c838d9a007cd38f434c983d7c337fc4c33cec8b079d716d2c1

Observation 528fb331-0a89-413a-bec2-b1cb08c937c2 · outbound

This paper cites Multiscale structure guided diffusion for image deblurring,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Multiscale structure guided diffusion for image deblurring,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.724855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.102214Z digest=sha256:fd7c244836a06438ee19766e2d6c501810200123c8db2b8f2dc507125a91761f

Observation 8acc3aa5-4787-4b8b-9837-758059a5f3ee · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Learning transferable visual models from natural language supervision,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.594846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d83b7058-f9fe-48b9-ae86-f983b701c1b3 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Exploiting diffusion prior for real-world image super-resolution,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.424465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a571f235-c982-49b7-8001-21e787e83764 · outbound

This paper cites To- wards robust blind face restoration with codebook lookup transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model To- wards robust blind face restoration with codebook lookup transformer,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.284418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.374968Z digest=sha256:36a3632f68114cef54f6f86e2bf3554214aba55bfa2566bc626609383067e5d1

Observation 4e1b5618-adfa-494b-bd7e-9607650a6d82 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model The unreasonable effectiveness of deep features as a perceptual metric,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:17.130585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.447079Z digest=sha256:f7890237573eca08dec9bc5a1109b6c62a22a57ff08c22cc3bbe71af838b2e55

Observation 88eec5f1-24dc-42c2-aaf0-20be849338e9 · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Exploring clip for assessing the look and feel of images,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.999129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.506784Z digest=sha256:c289efbee71768c91b7abfced5cbe47b61ca3ed3be4b1e12f29dbb378ea3baf1

Observation db65aa7b-86f6-49c4-9855-50b693987e29 · outbound

This paper cites Musiq: Multi- scale image quality transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Musiq: Multi- scale image quality transformer,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.881502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.596281Z digest=sha256:06780763aa37c0f22d982526ca7e2c97170009097bfcc37d332806e2b131025b

Observation e9c6ba1c-fa9a-423b-8058-dacb216cb0cc · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.675918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.659889Z digest=sha256:b8fc69dacaba1089e57d902e26df79801ce389f3c72583f5ac88f45980b04570

Observation ef8237b0-0aae-4a8b-9c4f-afb9989adcde · outbound

This paper cites jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!),.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model jantic/DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!),

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.548685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.726626Z digest=sha256:d90fddbaf353a17fce2b6e72158d4a0fa492d5a21e243f6b65db58bf9656d3fd

Observation c32823c6-c4e6-40c2-a8d8-3a737a730426 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Toward real-world single image super-resolution: A new benchmark and a new model,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.396076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.801824Z digest=sha256:d2268b63f066fe3d4b4f3ce25238530b7cf239b8a8fb8e476e71fb0ff8f42a49

Observation 1f20663c-2e28-4e75-8e54-e4eb2e560162 · outbound

This paper cites Component divide-and-conquer for real-world image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Component divide-and-conquer for real-world image super-resolution,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.205772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.882028Z digest=sha256:d3596f49ea7a41940441fe326fa08d3f10a8cc67208c087c39e95376eb65452c

Observation c1dd6dae-31e4-4c7c-92a5-92039efdbad4 · outbound

This paper cites Real-esrgan: Training real- world blind super-resolution with pure synthetic data,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Real-esrgan: Training real- world blind super-resolution with pure synthetic data,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:16.058698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:14.978202Z digest=sha256:8831673ecb9275b8b07a44cbf913e53246c0366912cf8ab687c1238460642144

Observation 9d29e550-b555-4a46-8e8d-9ede81675ea0 · outbound

This paper cites Cdformer: When degradation prediction embraces diffusion model for blind image super-resolution,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Cdformer: When degradation prediction embraces diffusion model for blind image super-resolution,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.911746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:15.052007Z digest=sha256:7e8409326a9eef9b735d6223d6b1476e486479d44d8d0eca7d9f2083501d1390

Observation ee7f2b6a-00f7-464b-9bb3-77614184847f · outbound

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

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.760773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:15.151704Z digest=sha256:c87fd315c17d1d4bb38d105b3b566cb48f5b35e53ef359fdd2e1213c2ec5e4a7

Observation a4179677-43f2-498c-ae5e-980217eaa3fa · outbound

This paper cites Unicolor: A unified framework for multi-modal coloriza- tion with transformer,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model Unicolor: A unified framework for multi-modal coloriza- tion with transformer,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.635089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:15.246492Z digest=sha256:95a47eef387df530756c03440d2d48a1ce8c411b455b387a2aac186ad92e76fd

Observation 969bb135-0ea8-420e-9584-2f42151e3df4 · outbound

This paper cites L-code: Language-based colorization using color-object decoupled conditions,.

Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model L-code: Language-based colorization using color-object decoupled conditions,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:15.515068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:32:15.310799Z digest=sha256:2d84741b04f6612932db47db21321734eac57f982e51bb52e77a118088639226

Pith citing papers

No inbound Pith citation observations are available.