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Paper Citation Record · LEDGER

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency

As of 21 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2506.03645.

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

pith.paper-citation-record.v1
2506.03645 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:08.608615Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:08:15.659778Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:08:15.702031Z

Reference resolution

76 of 76 outbound references displayed

  • verified exact1
  • verified fuzzy73
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3525a6d6-2bea-4463-beff-d086cf6d40b9 · outbound

This paper cites Android camera2 api,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Android camera2 api,

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 2026-08-21T06:32:19.484+00:00.

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Observation c1cc39df-c93b-4ad2-8296-0c3974667084 · outbound

This paper cites Learning to see in the dark,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Learning to see in the dark,

Reference 2

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raw_fallback, observed 2026-08-07T11:05:10.674718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.034182Z digest=sha256:e2e96a6ebcb1a3e0b2eaa1d06f056c82d49cafa8d5161aa322a6e2b8f9c48774

Observation 22e870e6-e399-4cef-ac6c-66391cdad8d9 · outbound

This paper cites Unprocessing images for learned raw denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Unprocessing images for learned raw denoising,

Reference 3

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raw_fallback, observed 2026-08-07T11:05:10.653299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.041083Z digest=sha256:c0d38d4a67a0d5cc1d149880b20596f92b398f22ffbb3e0125c3f82fe78836f5

Observation d8ca308d-ce71-428a-b2e0-79ca23acea9f · outbound

This paper cites Practical deep raw image denoising on mobile devices,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Practical deep raw image denoising on mobile devices,

Reference 4

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raw_fallback, observed 2026-08-07T11:05:10.632831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3af37fd6-4d3c-4007-a275-066d25d80321 · outbound

This paper cites A physics-based noise formation model for extreme low-light raw denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency A physics-based noise formation model for extreme low-light raw denoising,

Reference 5

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raw_fallback, observed 2026-08-07T11:05:10.616058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.056126Z digest=sha256:7ff62562025b2f3117cbe6e3c38337c3c9e8514fd9f3889ca2fc198dd2eee079

Observation e02b9a2a-1e05-424f-afe7-297ef1495fe4 · outbound

This paper cites Physics-based noise modeling for extreme low-light photography,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Physics-based noise modeling for extreme low-light photography,

Reference 6

Resolution
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raw_fallback, observed 2026-08-07T11:05:10.598443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.062382Z digest=sha256:7fa5b9aeb0586fdac884f0783ddfe7347fb26d8bae8a2382d19fb5db20b0a719

Observation 319433f1-c717-4d5b-afde-77881a681be8 · outbound

This paper cites Rethinking noise synthesis and modeling in raw denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Rethinking noise synthesis and modeling in raw denoising,

Reference 7

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raw_fallback, observed 2026-08-07T11:05:10.582536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.068634Z digest=sha256:5597b92656bb011d8c7873a93a1d6efd020870d0111f1851c628e09156734ec1

Observation aeab7d3a-212e-4d96-896a-b9344b6a1a55 · outbound

This paper cites Efficient burst raw denoising with variance stabilization and multi-frequency denoising network,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Efficient burst raw denoising with variance stabilization and multi-frequency denoising network,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.075136Z digest=sha256:28b092e9305dbf79036ca513924e92cca23e5ede7ab72be0e45e207d6e5036bf

Observation f2fbc994-b50e-46f1-90fd-b6e18352d078 · outbound

This paper cites Learnability en- hancement for low-light raw image denoising: A data perspective,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Learnability en- hancement for low-light raw image denoising: A data perspective,

Reference 9

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raw_fallback, observed 2026-08-07T11:05:10.549178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.081848Z digest=sha256:ff7f97fc2b6ad7ed6d0f7bfd1759e1a7facf45a347e4be52443ed07fbc483973

Observation b8d2dbb2-f57c-4e37-8b3e-1a60dc41838c · outbound

This paper cites Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.087191Z digest=sha256:4958f1c126ce137a972bd4e2871c06a1c5f7fdf5d67b6b97bf1faf13d3aa3af4

Observation 34fc5682-aa97-47df-9a34-b23ed36696e1 · outbound

This paper cites Physics- guided iso-dependent sensor noise modeling for extreme low-light photography,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Physics- guided iso-dependent sensor noise modeling for extreme low-light photography,

Reference 11

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raw_fallback, observed 2026-08-07T11:05:10.511811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.095292Z digest=sha256:2b4e7622197f5f569013cde6ae41abd56f7ba648ea4c90fdfb66336aa14fe98d

Observation c55deff9-49a0-4fc4-90d0-323f08283937 · outbound

This paper cites Idr: Self- supervised image denoising via iterative data refinement,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Idr: Self- supervised image denoising via iterative data refinement,

Reference 12

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raw_fallback, observed 2026-08-07T11:05:10.493079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 268c7c10-a8e2-45ac-8378-ff614626671e · outbound

This paper cites Deep variational network toward blind image restoration,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Deep variational network toward blind image restoration,

Reference 13

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raw_fallback, observed 2026-08-07T11:05:10.472357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.107320Z digest=sha256:025095ce240b29c07aff190a2c409789852c70b3ebbbb418b78cfeba9be978d2

Observation 346a1f77-f90d-4a0c-b106-7756a91fc0b9 · outbound

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

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency A high-quality denoising dataset for smartphone cameras,

Reference 14

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raw_fallback, observed 2026-08-07T11:05:10.452649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.117307Z digest=sha256:fd5baebacc083f09e7153493111d0bc92f3552d157f7e24195fce8ec7cf7eac1

Observation b822caa9-3ca5-4b6d-b443-b05f33d35d4f · outbound

This paper cites Blind2unblind: Self-supervised image denoising with visible blind spots,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Blind2unblind: Self-supervised image denoising with visible blind spots,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.124041Z digest=sha256:321c4cf3df433cd6d1dbe16bde451a804674e4a01349d6bd65eea1722b83f4c1

Observation e80a2009-fd4d-4974-a670-3d047ce14044 · outbound

This paper cites Benchmarking denoising algorithms with real photographs,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Benchmarking denoising algorithms with real photographs,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5d38f174-207f-45b1-8cfd-6768badf9d75 · outbound

This paper cites Real-world mobile image denoising dataset with efficient baselines,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Real-world mobile image denoising dataset with efficient baselines,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4c3a67cc-1841-4f10-afe1-402f41de1cae · outbound

This paper cites Practical poissonian-gaussian noise modeling and fitting for single-image raw- data,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Practical poissonian-gaussian noise modeling and fitting for single-image raw- data,

Reference 18

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raw_fallback, observed 2026-08-07T11:05:10.369015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.147749Z digest=sha256:e8a3a526c3ea910c3efc31ba7d6cf2a6ca938fd76f3d57860d7fca692948323f

Observation 4d62e2a7-8889-4647-8d2d-180219a1f4db · outbound

This paper cites Rethinking noise modeling in extreme low-light environments,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Rethinking noise modeling in extreme low-light environments,

Reference 19

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raw_fallback, observed 2026-08-07T11:05:10.350807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 066c9b6f-dc7f-49c9-bfe5-751dabb574ac · outbound

This paper cites Noise2noise: Learning image restoration without clean data,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Noise2noise: Learning image restoration without clean data,

Reference 20

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raw_fallback, observed 2026-08-07T11:05:10.334826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4cf85b68-ff49-42c7-8eaf-9ac2fefa8bf4 · outbound

This paper cites Fbi-denoiser: Fast blind image denoiser for poisson-gaussian noise,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Fbi-denoiser: Fast blind image denoiser for poisson-gaussian noise,

Reference 21

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raw_fallback, observed 2026-08-07T11:05:10.317803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f2634490-b97f-4e4c-8a4a-0e3df2cdc110 · outbound

This paper cites Neighbor2neighbor: Self-supervised denoising from single noisy images,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Neighbor2neighbor: Self-supervised denoising from single noisy images,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.179170Z digest=sha256:0f5b7848304c80f665eebea9151d293cd72c790b5d0a0e9b4d4be11591c21a05

Observation 87e1048f-2117-4500-87ad-fd82f4a5e948 · outbound

This paper cites Masked image training for generalizable deep image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Masked image training for generalizable deep image denoising,

Reference 23

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raw_fallback, observed 2026-08-07T11:05:10.285845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.185388Z digest=sha256:e9ad43595751dff2ca7191b4e612139f7e1d7f3b9fb3ada8e9b6ac2575012a80

Observation a3627a8b-4112-428f-af48-992874f22367 · outbound

This paper cites Estimation of signal dependent noise parameters from a single image,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Estimation of signal dependent noise parameters from a single image,

Reference 24

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raw_fallback, observed 2026-08-07T11:05:10.268190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8e987d87-d9bd-4f7f-a54f-10dfc3b54c9c · outbound

This paper cites The transformation of poisson, binomial, and negative-binomial data,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency The transformation of poisson, binomial, and negative-binomial data,

Reference 25

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raw_fallback, observed 2026-08-07T11:05:10.248194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.200747Z digest=sha256:3bc433338bc310f42a953818b45cc8b720dda001e3f49e600f485cf0e4de382b

Observation 3600f3f5-5453-4084-b611-05931867db32 · outbound

This paper cites Starck, F.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Starck, F

Reference 26

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raw_fallback, observed 2026-08-07T11:05:10.224739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b2d1ee06-398e-4a61-928e-a7d064cb77d5 · outbound

This paper cites A closed-form approximation of the exact unbiased inverse of the anscombe variance-stabilizing transformation,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency A closed-form approximation of the exact unbiased inverse of the anscombe variance-stabilizing transformation,

Reference 27

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raw_fallback, observed 2026-08-07T11:05:10.198118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.211830Z digest=sha256:315861a4ee5332a8f4cd6d7e16f3c222004ac28d52dbbc089794d9cc34b8c025

Observation c315630d-5d8e-4e82-bace-102ba553c087 · outbound

This paper cites Optimal inversion of the anscombe transformation in low-count poisson image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Optimal inversion of the anscombe transformation in low-count poisson image denoising,

Reference 28

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raw_fallback, observed 2026-08-07T11:05:10.166924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.218491Z digest=sha256:a76e3f33952df435437041ea9fc2b7236d9315aac09ad3ee5704bef76485a309

Observation 857e1336-d506-44b5-b923-c6fa828aa82d · outbound

This paper cites Poisson-gaussian denoising using the exact unbiased inverse of the generalized anscombe transformation,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Poisson-gaussian denoising using the exact unbiased inverse of the generalized anscombe transformation,

Reference 29

Resolution
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raw_fallback, observed 2026-08-07T11:05:10.136801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.223744Z digest=sha256:f73c3ed80a466790a36e159572a5aab938816dd9441f82ae6fdf80d8c8cec4bf

Observation 1a70f805-7aa2-44a9-9499-0e22c715e22c · outbound

This paper cites Optimal inversion of the generalized anscombe transformation for poisson-gaussian noise,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Optimal inversion of the generalized anscombe transformation for poisson-gaussian noise,

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T11:05:10.113655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.230305Z digest=sha256:5202baaef8a249b70ac8218806b8ef791c76171f4906de1391f404c489104ec2

Observation 5ee6f0ce-9270-412b-9f48-23cd19aa41f3 · outbound

This paper cites Deep network interpolation for continuous imagery effect transition,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Deep network interpolation for continuous imagery effect transition,

Reference 31

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raw_fallback, observed 2026-08-07T11:05:10.092299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.254457Z digest=sha256:fc411c5c81909b11e82c9db7c14bfb0dc382d5142f5c248c0070704ca0b5cf02

Observation af3a91b2-66a0-4daf-94c2-aa9068240d54 · outbound

This paper cites Modulating image restoration with continual levels via adaptive feature modification layers,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Modulating image restoration with continual levels via adaptive feature modification layers,

Reference 32

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raw_fallback, observed 2026-08-07T11:05:10.074009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.262110Z digest=sha256:47ba0da1ddfe59af3006482dfa1d3945d8c0b49de6fdd2ab743f206b763a6909

Observation 55a28b71-8e8b-4a9e-b735-adaae2b23cbe · outbound

This paper cites Interactive multi-dimension modulation with dynamic control- lable residual learning for image restoration,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Interactive multi-dimension modulation with dynamic control- lable residual learning for image restoration,

Reference 33

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raw_fallback, observed 2026-08-07T11:05:10.056748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.267860Z digest=sha256:6756c79118d37f523e2e26532f64acd77ec4922223744cfcb3d1ed0b075537de

Observation c58ddf41-b677-4b70-9c31-864d6ecb0d2c · outbound

This paper cites Flexible image de- noising model with multi-layer conditional feature modulation,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Flexible image de- noising model with multi-layer conditional feature modulation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:10.037654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.274432Z digest=sha256:48ab19f4c4dfe4f6e7f02225f6fd6cb74bc50b63871c3a68767b594cd932e384

Observation 8175edda-b0c2-4bbe-a72e-399e8c53770b · outbound

This paper cites Denoising diffusion probabilistic models,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Denoising diffusion probabilistic models,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:08.291594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:08.291594Z digest=sha256:407512c72ef80d392e785cbcdc719dbac45a2e131aa6d0e6b3f5d4834930db6d

Observation f8409114-fba2-474b-a47a-ffa53986c409 · outbound

This paper cites Denoising diffusion implicit models,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Denoising diffusion implicit models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:10.000663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.298560Z digest=sha256:9e3c39303825803e112cec0918ad0b0611dffe1af68ef226874c006c0582d458

Observation f4189e22-f752-4a71-aefd-8d7b3968469a · outbound

This paper cites Stimulating the diffusion model for image denoising via adaptive embedding and ensem- bling,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Stimulating the diffusion model for image denoising via adaptive embedding and ensem- bling,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.980329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.307759Z digest=sha256:079047f7dd69411ac65710de1da4583b35ab2873a3014f4873586eab255a35f3

Observation 526303e4-2862-48ac-8b84-36c88232b2f7 · outbound

This paper cites Toward convolutional blind denoising of real photographs,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Toward convolutional blind denoising of real photographs,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.958391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.317291Z digest=sha256:626967688cf6d1d85618251e2cd58360d3b60a1c962b60290aac848481ad4174

Observation f610c7bb-b0f5-47c8-865e-06342d39a24e · outbound

This paper cites Pseudo-isp: Learning pseudo in-camera signal processing pipeline from a color image denoiser,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Pseudo-isp: Learning pseudo in-camera signal processing pipeline from a color image denoiser,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.938867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.324172Z digest=sha256:c419378c1f4d96141abbf7f9e3f566fee5512904a7653607096d5d6578561d68

Observation 2f5e7896-5a0f-46a7-9fbf-30f400ce3dc1 · outbound

This paper cites Deep image prior,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Deep image prior,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.923094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.331492Z digest=sha256:2f1a1f27a91375ef2abb1ec811e4b3f1caa44c43dbfaeae29db99650afe09788

Observation e9a1aabc-01a6-46ba-abbb-a575f43b6315 · outbound

This paper cites The devil is in the upsampling: Architectural decisions made simpler for denoising with deep image prior,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency The devil is in the upsampling: Architectural decisions made simpler for denoising with deep image prior,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.905958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.339895Z digest=sha256:9858df435492da83aaad9737312b964c417639769c05c99ba8d4f4ab9ab0f3a7

Observation 05dd29cb-5e16-4096-8ce2-890c718a55d2 · outbound

This paper cites Rethinking deep image prior for denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Rethinking deep image prior for denoising,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.889253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.346124Z digest=sha256:3bebcd40e16de497413726b73e7f616e53c200f43f08f6d5ed5100f03f09313d

Observation 2724461f-1674-499e-8d44-394f4ae010d8 · outbound

This paper cites Zero-shot noise2noise: Efficient image denoising without any data,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Zero-shot noise2noise: Efficient image denoising without any data,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.873141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.357114Z digest=sha256:3e095c723b731711432bb2dd8d9a2d1570a42e05fe9cf59760b6821a940150c0

Observation 281324ee-f870-4a54-a763-9fb6d6d4fa68 · outbound

This paper cites Iterative denoiser and noise estimator for self-supervised image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Iterative denoiser and noise estimator for self-supervised image denoising,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.858353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.377782Z digest=sha256:54e127b58330016e8d62f3a5e8595d02f542de5bbdf7b5b4f08f7c62b66e7ec7

Observation db36355e-4d60-4ece-958d-55d4ac4e934d · outbound

This paper cites Noise2void-learning denoising from single noisy images,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Noise2void-learning denoising from single noisy images,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.837943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.393013Z digest=sha256:747d70626c9e5be13c3b3d9544a489db2060374bbdbf1490e6d045378826ac70

Observation 2375583a-488b-4918-a457-70bb5379b03c · outbound

This paper cites Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Ap-bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.819836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.400553Z digest=sha256:004d51e477ab62caf6d149d692e3d8d178e767f1069e2f46b8f870bdc36d109b

Observation 30c0fdaf-59a5-47b6-b5a1-d83435cb16e8 · outbound

This paper cites Lg-bpn: Local and global blind- patch network for self-supervised real-world denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Lg-bpn: Local and global blind- patch network for self-supervised real-world denoising,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.801068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.407364Z digest=sha256:120ffc2d2f377d6397a3049871aa7a1408aee2740a69498bf9392d2d05ac0e2c

Observation c1454b86-cdf8-4dc5-b795-0d73dc3796a8 · outbound

This paper cites Exploring efficient asymmetric blind-spots for self-supervised denoising in real-world scenarios,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Exploring efficient asymmetric blind-spots for self-supervised denoising in real-world scenarios,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.776931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.414606Z digest=sha256:b5add52dde89e1a4a4222e8d7cf9aba2016920f7770f7ad9151a60b2ade9ec3f

Observation 1574a68e-ddde-4df8-869e-3183f8e987bc · outbound

This paper cites Complementary blind-spot network for self-supervised real image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Complementary blind-spot network for self-supervised real image denoising,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.752164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.421806Z digest=sha256:de6f5ee12158e2cc2b34b4455c7a5ba0319a55cae173a8d3c589f6878ea7e1d2

Observation f069a762-6d4f-482c-8d52-67eed40b0e24 · outbound

This paper cites High-quality self- supervised deep image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency High-quality self- supervised deep image denoising,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.731606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.427658Z digest=sha256:e5573f8ebd4142e3dfdf792a2e2269a34d9a52be0b3e29fb0435e834394aded8

Observation f9bf1ca5-d643-478f-a43a-bd8ce1d818c9 · outbound

This paper cites An unsupervised deep learning approach for real-world image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency An unsupervised deep learning approach for real-world image denoising,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.716134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.434473Z digest=sha256:a0218d1e4b0bf748ddff5cefc0c097961e7eeb624c47953a8e8799d5568deb5e

Observation ebca2f64-8ff0-4db3-af4b-d1832b77dcde · outbound

This paper cites Radiometric ccd camera calibration and noise estimation,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Radiometric ccd camera calibration and noise estimation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.694892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.440771Z digest=sha256:1d6af42c5f94bc5b4c5876a1b9067d707fcc28b332c3286a4bdc39516e22b2b1

Observation c07241dd-d79c-429c-a67c-b70115432b0d · outbound

This paper cites Improved denoising via poisson mixture modeling of image sensor noise,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Improved denoising via poisson mixture modeling of image sensor noise,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.440811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.447170Z digest=sha256:75b5ed4d12c649a2f79d4acd0bcdd7f9d3bc313ebdf133605a49646a676f2a89

Observation 1ec7c5d4-fea9-4940-979d-72da7d0046b1 · outbound

This paper cites A non-local algorithm for image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency A non-local algorithm for image denoising,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.417749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.454473Z digest=sha256:49ed76a90b49178b775b537fa2739fb9755a8b71c7f1dd248f5c0dd12366e0aa

Observation 56aeb862-8b4c-49d9-b135-c281970bdcd4 · outbound

This paper cites Image denoising by sparse 3-d transform-domain collaborative filtering,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Image denoising by sparse 3-d transform-domain collaborative filtering,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.397601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.461383Z digest=sha256:4d9e5966f1c7bd2b1d607a602860dd35252cbee0ae71e0ed1aa7a0b17240dca0

Observation fe2271d2-d03f-4bfa-ab63-9173960b8f36 · outbound

This paper cites Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.370142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.473002Z digest=sha256:38a49d772b4940298220f8e2497b6c4669a969f6fe0b68d460c1832e494d2efa

Observation 1d79022e-f129-4609-9fc0-bae464212943 · outbound

This paper cites A fast parallel algorithm for blind estimation of noise variance,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency A fast parallel algorithm for blind estimation of noise variance,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.342179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.481259Z digest=sha256:c76c53933fed903ffcd554dd9adc8e62fd60d77be1152380bf77850c060df727

Observation 060b4057-fc62-4d9d-9ac8-d0c399366a1a · outbound

This paper cites Fast noise variance estimation,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Fast noise variance estimation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.313822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.486967Z digest=sha256:43f0cc8d10b054367a192e0e0f701349ac038ef0db65878fe28b9534eccacaae

Observation 90a8f542-fee8-4d02-b7af-9e7c01011a70 · outbound

This paper cites Image noise level estimation by principal component analysis,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Image noise level estimation by principal component analysis,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.292023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.493546Z digest=sha256:61031e7ff25c5ae714582738642eb4f4fe6f8207e5055a5595617c2270597112

Observation d1f5b893-dad1-44cd-ab06-f41123a725f4 · outbound

This paper cites Estimation of signal-dependent noise parameters from a single image,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Estimation of signal-dependent noise parameters from a single image,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.273307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.500973Z digest=sha256:001dc4085ba0514a2c2d7c863c581f38e300423ed3ec43745f16ae2046cad6e7

Observation 8dbb0acc-f8ee-45d5-bab8-82f830f59241 · outbound

This paper cites Digital image noise estimation using dwt coefficients,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Digital image noise estimation using dwt coefficients,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.250440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.508210Z digest=sha256:955ecd9c5d997fd907a343d0334dd1eb80a59133871f866b97ae15667b78921f

Observation 819b8b8c-426c-42e1-972e-60625b440380 · outbound

This paper cites Estimating fine-grained noise model via contrastive learning,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Estimating fine-grained noise model via contrastive learning,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.226856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.515199Z digest=sha256:f5fa3bfd90ec511f8dfdbb621a4d36daea877d0b92baf651e4ae6cfd148450a7

Observation 2de577ef-572a-486d-8a2a-c87fbcefe552 · outbound

This paper cites Emva 1288 standard for machine vision: Objective specifica- tion of vital camera data,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Emva 1288 standard for machine vision: Objective specifica- tion of vital camera data,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.202627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.520831Z digest=sha256:8d4fcac559cf50d11dd7996de9273294ce093cb4cee8b53e733fcdaf8e44d0db

Observation fe69d764-2422-4401-9a54-08d9cec76139 · outbound

This paper cites Fast mean filtering technique (fmft),.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Fast mean filtering technique (fmft),

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.183937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.526468Z digest=sha256:d650179236dc4492767856f227e497b32a7276c25e9b044bb6311f2ad69dbcf9

Observation 866aa0c7-34f1-498f-8a5e-38799eacceb4 · outbound

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

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency U-net: Convolutional networks for biomedical image segmentation,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.164931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.538041Z digest=sha256:3366987971129e4ee437193e4c2bb9be40737b258563253712e8c4f3c0dce578

Observation 8f85ac2a-cc52-4a85-97f6-ae1968f33dc3 · outbound

This paper cites Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.138454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.543856Z digest=sha256:c9d8abc76336aa105fd0c4d9ac663cdafba2621e2e04c97a866a17b7a6d9e36a

Observation e883c607-837d-4c3b-b705-2c1a05c8d340 · outbound

This paper cites an unresolved cited work.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:09.108469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.553503Z digest=sha256:e49f3ef4489eb2b18c9b86a3638f61f981eddbbb9e10cf6df45564c8f5b178fc

Observation d115fdbc-7596-44a1-a146-a0f36a8476f6 · outbound

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

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Sinsr: diffusion-based image super- resolution in a single step,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.067179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.561043Z digest=sha256:5b5b626cc7a6038b986c90fc6dfcac4a6a8b9a443ae361d382436d62d19629de

Observation 551f74a7-65c5-4bc8-a955-60264e426943 · outbound

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

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:09.026958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.566071Z digest=sha256:c9282c9e4a3185699e465967385d87de5c1a47fe4526645bb45077d9a5217c2e

Observation 7154efc0-8f97-4a9c-b467-2935db3d9c9b · outbound

This paper cites Learning raw image denoising with bayer pattern unification and bayer preserving augmentation,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Learning raw image denoising with bayer pattern unification and bayer preserving augmentation,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:08.996819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.572159Z digest=sha256:3bf1ad6c43087176070923c2253937b10d7c97e4c49f92c9dd5b32e8ab082ebf

Observation ddd068ca-272d-44f4-a33d-c1e0581ea9a0 · outbound

This paper cites Adam: A method for stochastic optimization,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Adam: A method for stochastic optimization,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:08.974439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.577658Z digest=sha256:380ea063b0eb93219d22d9919d78edc54553195156f8a093f453935732cdb06b

Observation 1451d5cd-e8cc-4984-b90a-a7949da47a87 · outbound

This paper cites SGDR: stochastic gradient descent with warm restarts,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency SGDR: stochastic gradient descent with warm restarts,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:08.946261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.584460Z digest=sha256:99916d40870992497cfec5637c179c8aea3f4101aeb809bba0f5036500e288a2

Observation 5c62f5da-77bd-43a4-a368-1e8317007f10 · outbound

This paper cites Box plot — Wikipedia, the free encyclopedia,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Box plot — Wikipedia, the free encyclopedia,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:08.913601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.589766Z digest=sha256:4331f937b83247f47322bfbcafc0cd87862b87ef8ab27218eaacced1df628915

Observation f805c507-d8d1-4291-b17f-c63ea785a672 · outbound

This paper cites Physics- guided noise neural proxy for practical low-light raw image denoising,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Physics- guided noise neural proxy for practical low-light raw image denoising,

Reference 74

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:05:08.829602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.595391Z digest=sha256:36d4de7a7180d81a3731de8d136a0967fc35d51b8bba01e5465f807fb2ed9936

Observation 28a5433f-9895-41fd-9f68-a74a57e7765e · outbound

This paper cites Score-based generative modeling through stochastic differen- tial equations,.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency Score-based generative modeling through stochastic differen- tial equations,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:08.880170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.602389Z digest=sha256:6261d1a88a366db87423aea2f49bd20b04cfe620a4043fd07f18d92fd97ab009

Observation 97cad9ee-9564-4693-a363-677e6e3ab96e · outbound

This paper cites student with the School of Computer Science and Technology, Beijing Insti- tute of Technology.

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency student with the School of Computer Science and Technology, Beijing Insti- tute of Technology

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:08.853372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T11:05:08.608615Z digest=sha256:77c9706519bb6178b41c549431a75d33310d468417538b2ca4445daf3f7356de

Pith citing papers

Observation 2657cfb3-4274-4dfb-92ac-5ee497c89112 · inbound

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising cites this paper.

DarkVRAI: Capture-Condition Conditioning and Burst-Order Selective Scan for Low-light RAW Video Denoising YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:08:15.709557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:08:15.659778Z digest=sha256:a80d9202c700b783a60c6b7834c01b5ca3523504925905966ecb05d4851d389b

Observation f4c6d0b2-77be-439f-bc42-89e119aec194 · inbound

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising cites this paper.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-14T07:08:41.788861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T07:08:41.788861Z digest=sha256:4f9847042791f96bae066dad942b887d4fc46bca12950e6b62c2a188fe7f7c6b