Pith. sign in

Paper Citation Record · LEDGER

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising

As of 23 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2606.23098.

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

pith.paper-citation-record.v1
2606.23098 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:51:39.469970Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

66 of 66 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5b05a3f-781c-4d5f-ac49-eecea26f84ef · outbound

This paper cites an unresolved cited work.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:ab88890d048880e162c0a3ffea85ffc0976abe4f434cc82b7295eb417877451c

Observation 5f5bc4cc-3d7a-4b81-922a-77e9d135603b · outbound

This paper cites Noise flow: Noise modeling with conditional nor- malizing flows.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Noise flow: Noise modeling with conditional nor- malizing flows

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:8ccb8d514f3259cb1430953bc9d524829dce253e3d91d87edbd2898d56023bee

Observation 89c254f6-f6c3-4892-8014-f3a9316ec72c · outbound

This paper cites Aharon, M.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Aharon, M

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:82ca18b3574174a20a9d3fab3bc478e68be932f1eb902e6c6aac03460386281c

Observation 9e7189b7-c5aa-425e-88e2-2f542194a963 · outbound

This paper cites an unresolved cited work.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:d74cfb9a72bb30f05e966ecb9cc8d011499d99887761ae79f621a31ac0998bc2

Observation 379c44f8-155d-444c-9456-6ba3d5bc365c · outbound

This paper cites Framework for Easily Invertible Architectures (FrEIA), 2018-2022.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Framework for Easily Invertible Architectures (FrEIA), 2018-2022

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:c7f96232ac3e89c188c9dae7a54375ccc67569785ee373f02fa67904a054d06e

Observation 5ebd646c-fb38-43fb-b794-59a85b08a4bd · outbound

This paper cites Variance stabilization for noisy+estimate combination in iterative poisson denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Variance stabilization for noisy+estimate combination in iterative poisson denoising

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:9d25bf210ef88b9fbaace42b01c4a83a1a7ec78799b296d21ed0a8046940fcfb

Observation ad48f68d-482e-4e4d-8e26-44f4fb1f5e27 · outbound

This paper cites High-resolution single-photon imaging with physics-informed deep learning.Nature Communica- tions, 14(1):5902, 2023.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising High-resolution single-photon imaging with physics-informed deep learning.Nature Communica- tions, 14(1):5902, 2023

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:1923df78ac2d4f03b377eb4a3c563e9c3bc5c4a9ba04311080bb2cf7c4c1560e

Observation dd1909f0-7d5f-4e5e-9fd2-652e207fcbe3 · outbound

This paper cites Buades, B.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Buades, B

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:f4b2e1422555e0ec5cc7d8b3fcbdab96bcb034b568d7676d875cc40eed7f4721

Observation 27f72123-405f-4669-8e89-53f7889fdc6d · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Fbi- denoiser: Fast blind image denoiser for poisson-gaussian noise

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:c68550ea4a9d60d4feec88d4bd5a45d408b878ae9ec4efccece17bd9ae2a97d5

Observation 24160c5d-3f9c-4d7f-9eaf-141237a5a45a · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Physics-guided iso-dependent sen- sor noise modeling for extreme low-light photography

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:f15a4a6ea1fa57fb22a557f5381e36ba606db052499474dd3f768de5bf4472f9

Observation 6b83738d-4105-45b2-a1f4-173aa2ec21f2 · outbound

This paper cites Quantum-enhanced nonlinear microscopy.Nature, 594(7862):201–206, 2021.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Quantum-enhanced nonlinear microscopy.Nature, 594(7862):201–206, 2021

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:174df7f4c0d6b50edb09d81a8d9233152ba5caf76c8f3f3da5c39590a1e153f0

Observation 585a3225-b52c-4987-ba58-da50f38d53d7 · outbound

This paper cites Simple baselines for image restoration.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Simple baselines for image restoration

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:9160c790ac358e830c2d7ef9377050858113873622bec5b758a29bfcc4c478c5

Observation 9c3942ac-9e4c-47ad-a54d-af3e07f60904 · outbound

This paper cites Masked and shuf- fled blind spot denoising for real-world images.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Masked and shuf- fled blind spot denoising for real-world images

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:8ea26dd5dc2c76a84f32db2338b82705971a259104564072b5acdaad4c17243d

Observation f067b9a0-e908-409f-a5af-254a17e2a834 · outbound

This paper cites Image denoising by sparse 3-d transform- domain collaborative filtering.IEEE Transactions on Image Processing, 16(8):2080–2095, 2007.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Image denoising by sparse 3-d transform- domain collaborative filtering.IEEE Transactions on Image Processing, 16(8):2080–2095, 2007

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:ad392757c2ead3040e51a36d4042df10f794ebc31d4cc492a5a25ee6f38400a4

Observation 8c167f38-e576-465f-9047-48a72d4e77de · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising NICE: Non-linear Independent Components Estimation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:29:44.704842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:df546e891becab84d9302340f03c5593dbae7071a772135afbccf5373fb7fdfc

Observation 07695b5d-4297-45b3-9dc3-e0547a1d847a · outbound

This paper cites Density estimation using real nvp.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Density estimation using real nvp

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:e2270a1a3206bd05fb4e48970c4dee580c76296388a494ac72a5f38d1e1013fa

Observation 8d2aabc6-e573-467d-adf6-0a94e197eca2 · outbound

This paper cites Image denoising: The deep learning revolution and beyond – a sur- vey paper –.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Image denoising: The deep learning revolution and beyond – a sur- vey paper –

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:55baff875f087636d29cd6a004a6e2cf090c6ab8beb1f2fe6c6e7c8a04548414

Observation c1fa2f01-4b31-467a-9138-8e94e7808378 · outbound

This paper cites Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data.IEEE Transac- tions on Image Processing, 17(10):1737–1754, 2008.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data.IEEE Transac- tions on Image Processing, 17(10):1737–1754, 2008

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:411560c5bbc8d89eae0d02c8cd5effdf5270474e6d83630b3357413488a6dc75

Observation 1d565601-f9af-4738-96a9-d0254c8305e2 · outbound

This paper cites srgb real noise synthesizing with neighboring correlation-aware noise model.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising srgb real noise synthesizing with neighboring correlation-aware noise model

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:c7bde0d833505c3fcd6d27eaf325c4710cddebb67cfe1fb6a15d705a39b656d0

Observation d08c39b3-b785-4123-987b-e594a9683158 · outbound

This paper cites Goncharova, Alf Honigmann, Florian Jug, and Alexander Krull.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Goncharova, Alf Honigmann, Florian Jug, and Alexander Krull

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:b035ca0000056b9257de9b692322a637fe1ec0abf26e5b03dd6324295ae6f442

Observation bed8c82e-511c-4660-9c31-e2fa059adda4 · outbound

This paper cites Toward convolutional blind denoising of real pho- tographs.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Toward convolutional blind denoising of real pho- tographs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:28367d22203f52d55c352c25404dae9645b88b1049228f3c06c40ce46f198b48

Observation c4b74e8b-8cc0-4e1d-8793-a948c4f00606 · outbound

This paper cites Deeper detection limits in astronomical imaging us- ing self-supervised spatiotemporal denoising.Science, 0(0): eady9404, 2026.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Deeper detection limits in astronomical imaging us- ing self-supervised spatiotemporal denoising.Science, 0(0): eady9404, 2026

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:4338f1d2f711878bf4bddc93ada1b8569bd9fbdc3111aa9b10c9cb3c052e5e15

Observation b9654e17-a934-41f5-952f-1b8f1d5b4e30 · outbound

This paper cites Self-calibrated variance-stabilizing transformations for real-world image denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Self-calibrated variance-stabilizing transformations for real-world image denoising

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:31a866c45c891eaceace27226ba609c121038594eaa42f18eb2234c5bbfc77de

Observation fba8915e-b524-40ee-9acd-9fe52cbcc008 · outbound

This paper cites Neighbor2neighbor: Self-supervised de- noising from single noisy images.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Neighbor2neighbor: Self-supervised de- noising from single noisy images

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:03dde7f47f21cd70c47d709c7770108fe02550beb8b7dba329bcc3f64fea59db

Observation 64c7f32e-26f4-4368-ab07-f5d90f985f8a · outbound

This paper cites C2n: Practical generative noise modeling for real-world denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising C2n: Practical generative noise modeling for real-world denoising

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:aa7e779cc1f8ec2c8010fd793fa0f3dc523ed4fb3f5c8d4e6dda23854820350f

Observation 04778d55-061e-43db-9a2e-1a755f308d33 · outbound

This paper cites Lan: Learning to adapt noise for image denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Lan: Learning to adapt noise for image denoising

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:7d4b901368f5863f4839adfdd15c3edaa62ad74497c6abac94fa5e0bfe108ac2

Observation 3a974e2b-5772-4186-855d-d3d874d14f63 · outbound

This paper cites Transfer learning from synthetic to real-noise denois- ing with adaptive instance normalization.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Transfer learning from synthetic to real-noise denois- ing with adaptive instance normalization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:c4b3cbc27096798e1f04a2ea01f84802da290eecd15868f324466397d6f1aedd

Observation 2afe9a39-e81e-472f-aee4-9ee0a7952473 · outbound

This paper cites Kingma and Prafulla Dhariwal.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Kingma and Prafulla Dhariwal

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:2135a7e9a6e418ce3f4aa08a109a32e84cf6b94ca3f956e9842c0241d3abd3d9

Observation c2837096-c6ad-47ac-b909-2d4377befb0a · outbound

This paper cites Brown, and Mar- cus A.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Brown, and Mar- cus A

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:f6f85694043a6235570d20eaf813f6041bd5ed2c204491a3a483a961e4a3871d

Observation f0115d43-4604-4594-b4da-20949aa1d147 · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Noise2void - learning denoising from single noisy images

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:ae839fc4d2a03b095e3878d789b5bd170e0cd77d9cd5c6adaac24fc365b464bb

Observation ec4a6a75-4e35-4452-bf57-8e6215da3bef · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising High-quality self-supervised deep image denoising

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:166f661344992bf995fba728ef66bee2e146f2b2958d1399d0b633216fb86505

Observation 70c7c71f-ec18-41ec-b7fa-aaf680f9cbb1 · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Ap- bsn: Self-supervised denoising for real-world images via asymmetric pd and blind-spot network

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:b23471bd83e71f2ad6aa49aeb43f9ba2503fd8c284715e3265ff19b7cd104416

Observation 52e84a28-5ec4-441a-8a4c-5c04ceaf6e2d · outbound

This paper cites Noise2Noise: Learning Image Restoration without Clean Data.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Noise2Noise: Learning Image Restoration without Clean Data

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:29:44.708096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:c894a3db945728932e50455f7661f354779aa14fdaaa96353aadf9010bddc8f3

Observation e581d2fb-c123-48fe-8177-fb8705b157d1 · outbound

This paper cites Deep image prior.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Deep image prior

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:002a0cbe4f5508167525730e218d85a7571a5b3d306a928c29c50bb7bd6b0223

Observation 0ba61817-5ce8-4698-b908-6c29e0eb9418 · outbound

This paper cites Spatially adaptive self-supervised learning for real-world image denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Spatially adaptive self-supervised learning for real-world image denoising

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:58a7b89722bd8042b17e2d10a7ac000a304ddc43c23d0d02c41fcf2b2501e6aa

Observation 86689e5c-2a18-4667-aca6-b860170cef1f · outbound

This paper cites Reinforcing neuron extraction and spike in- ference in calcium imaging using deep self-supervised de- noising.Nature Methods, 18(11):1395–1400, 2021.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Reinforcing neuron extraction and spike in- ference in calcium imaging using deep self-supervised de- noising.Nature Methods, 18(11):1395–1400, 2021

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:d40fa217c5152a4e0b2cbfccc9bcb59c23ee76f1ad62dc7edd1453c8b753b29d

Observation 36cb0fcf-197f-4e35-b6e0-66e7f0c6b268 · outbound

This paper cites Spatial redundancy transformer for self-supervised fluorescence im- age denoising.Nature Computational Science, 3(12):1067– 1080, 2023.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Spatial redundancy transformer for self-supervised fluorescence im- age denoising.Nature Computational Science, 3(12):1067– 1080, 2023

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:890b9c7ba77a9235cdcb91f88b0c25e4e9d4a4b9814886bf0e85157a71dee717

Observation 7188289f-9eec-46e8-9b1f-f4a50ba8eb1f · outbound

This paper cites Real-time denoising enables high-sensitivity flu- orescence time-lapse imaging beyond the shot-noise limit.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Real-time denoising enables high-sensitivity flu- orescence time-lapse imaging beyond the shot-noise limit

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:0cc16894ff325232dcba065cb0ad45f15ff261309b09a50f8991574733b54665

Observation 8fe11edd-fe0d-42f2-b980-b9b798ee607a · outbound

This paper cites Asymmetric mask scheme for self- supervised real image denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Asymmetric mask scheme for self- supervised real image denoising

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:52e0a57ffb37760d4cd18db09f4e982f1df7658497222ec3a30478cc048eea73

Observation 75a0e141-4034-4c55-8f5b-dea93cb3fdda · outbound

This paper cites Image de- noising in mixed poisson–gaussian noise.IEEE Transactions on Image Processing, 20(3):696–708, 2011.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Image de- noising in mixed poisson–gaussian noise.IEEE Transactions on Image Processing, 20(3):696–708, 2011

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:00678faa5ceaac196dc9f573ce0c27c15032524fa435952e3930fa48ad334f97

Observation 64bb7d7c-eadd-464c-9904-73f89bc375d3 · outbound

This paper cites A closed-form ap- proximation of the exact unbiased inverse of the anscombe variance-stabilizing transformation.IEEE Transactions on Image Processing, 20(9):2697–2698, 2011.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising A closed-form ap- proximation of the exact unbiased inverse of the anscombe variance-stabilizing transformation.IEEE Transactions on Image Processing, 20(9):2697–2698, 2011

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:4ca737e2be97b68dda3efe36114e955130266b8e42f631f3747a03fc479698c0

Observation add9fe3f-651a-44d6-96df-0ca38ef92d01 · outbound

This paper cites Optimal inversion of the anscombe transformation in low-count poisson image de- noising.IEEE Transactions on Image Processing, 20(1):99– 109, 2011.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Optimal inversion of the anscombe transformation in low-count poisson image de- noising.IEEE Transactions on Image Processing, 20(1):99– 109, 2011

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:9e98c32bf88955e7d268c360b1db082e0605e15f38b9d981ab3a92d94a70ea84

Observation b5b8e58c-e323-449f-9490-3767e6836781 · outbound

This paper cites Optimal inversion of the generalized anscombe transformation for poisson- gaussian noise.IEEE Transactions on Image Processing, 22 (1):91–103, 2013.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Optimal inversion of the generalized anscombe transformation for poisson- gaussian noise.IEEE Transactions on Image Processing, 22 (1):91–103, 2013

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:0c6187c8a335b5aa1e10ee180d64d65df704a2951b776857f936a1f7864615a5

Observation 5c78c5f0-84d1-4a2a-9b62-150171177f95 · outbound

This paper cites Brown, and Mar- cus A.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Brown, and Mar- cus A

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:a0134af417a25e7e6d696221167b2d2e42858ec4d064a3ff1e1f4e1e110e263a

Observation f4723c9c-ecec-43af-88f6-1af2a31b4c38 · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Zero-shot noise2noise: Efficient image denoising without any data

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:266518436f9a45722fd11caf0df584562e0f9a79d5a9be2ebd14b1485e087837

Observation 045edc6d-975a-47ea-9781-1a799fdfc2c1 · outbound

This paper cites Richter, Laura Waller, and Vladlen Koltun.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Richter, Laura Waller, and Vladlen Koltun

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:536e616233d04794255e950895ba318a0dd9cad46a3f00f1dddeead25995aee9

Observation 93f380b4-a492-4cd2-bf7f-8007a7ea5564 · outbound

This paper cites Noisier2noise: Learning to denoise from unpaired noisy data.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Noisier2noise: Learning to denoise from unpaired noisy data

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:575d690fee28ca418786da70deaa90b66336aea49a4a6ccbcdec1bb288613dc6

Observation 726a0cba-96ac-4720-8cb0-3b15f087a6b0 · outbound

This paper cites Cvf-sid: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Cvf-sid: Cyclic multi-variate function for self-supervised image denoising by disentangling noise from image

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:ac878cf036aa10d7f1fef33e2ed37f03ca22b443e692eeb524cfbdeabba0b154

Observation 849f037f-c175-44d6-8631-b0d185149dd4 · outbound

This paper cites Nguyen, Magnus O.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Nguyen, Magnus O

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:81029567c4334966b450f39d30d08ef14bd10f6358bba5aa59c62c93dfa21831

Observation dab8a9cd-3275-4282-9baa-15b8f0732211 · outbound

This paper cites Random sub-samples generation for self- supervised real image denoising.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Random sub-samples generation for self- supervised real image denoising

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:090ab418394ba4183b386e747ce010d7409778464b356395f64b4c28e90b1628

Observation 264187ec-f6ff-4c8e-a7ad-fc73cefe9504 · outbound

This paper cites Fully un- supervised diversity denoising with convolutional variational autoencoders.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Fully un- supervised diversity denoising with convolutional variational autoencoders

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:90cddaa85ab605e7e85f4ebdc31fd61ad80db669465ddbdbe33c049ca38cc1d5

Observation 63a153a7-2f2c-4305-8de4-215623ccf7ce · outbound

This paper cites an unresolved cited work.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:1cf537d4ff5187deaa8319034f0fd0b46ef9fb28e9fa7f2305b56b98515f7d3b

Observation 9b176d61-d65e-484d-8049-3dcceb03cf82 · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising U- net: Convolutional networks for biomedical image segmen- tation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:d4defa219c6510beec5e8a5e0a8e4a39fe2f65352dc3c99364a8d512a17ce0a3

Observation 7482847b-c9c3-4b9a-8609-6a06364205fe · outbound

This paper cites Realization of the first sub-shot-noise 11 wide field microscope.Light: Science & Applications, 6(7): e17005–e17005, 2017.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Realization of the first sub-shot-noise 11 wide field microscope.Light: Science & Applications, 6(7): e17005–e17005, 2017

Reference 54

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:6d69f6247ff34e0aaffc68c9a1691e219adfc5fadd813ae0be805b2d3278322d

Observation 7c6a82dd-678d-487c-ae6a-033e89a3145c · outbound

This paper cites Blind2unblind: Self-supervised image denoising with visi- ble blind spots.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Blind2unblind: Self-supervised image denoising with visi- ble blind spots

Reference 55

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:f8f5abd47130459cd8fd8722c7368bc110a78442bfd5c376f79408d43a961617

Observation 20ecb11e-eb4d-4924-ac08-1fdc27e6fd72 · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising A physics-based noise formation model for extreme low-light raw denoising

Reference 56

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:ba552ba116a851c0de60e542cb9894016820a861347aa6b501a6f5d62340bb28

Observation d154346d-fc74-4676-96aa-d43aafa647b2 · outbound

This paper cites Cycleisp: Real image restoration via improved data synthesis.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Cycleisp: Real image restoration via improved data synthesis

Reference 57

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:5bcdfddb8b9d16dd35794458182d7dfa660eeaa7dc03b8909f4083bd1d921a35

Observation ae4fe283-f851-458c-9bf1-05dbe95bd660 · outbound

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

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Restormer: Efficient transformer for high-resolution image restoration

Reference 58

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:7db88c9035a93a8e84c1d837e71a0d4e40896a13c41c0790f7a378ded24dcc4b

Observation 32611880-d21b-4247-972b-132f874a9cdf · outbound

This paper cites Bio-friendly long-term subcellular dy- namic recording by self-supervised image enhancement mi- croscopy.Nature Methods, 20(12):1957–1970, 2023.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Bio-friendly long-term subcellular dy- namic recording by self-supervised image enhancement mi- croscopy.Nature Methods, 20(12):1957–1970, 2023

Reference 59

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:edcc67e68e280b307c9e126383e861fbcc2d417731bfba2181a6bf720a09be2a

Observation 4bb3366d-2c97-464f-9fc4-594211b262b9 · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE Transactions on Image Processing, 26(7):3142–3155, 2017.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.IEEE Transactions on Image Processing, 26(7):3142–3155, 2017

Reference 60

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:aa01fdaa01cca6cbc8fbbc0def3e72d77e9c89a6a89ae65f98e72a69067da692

Observation 3085c2b0-9cd4-4cf1-a03f-e73a15b5190a · outbound

This paper cites Plug-and-play image restora- tion with deep denoiser prior.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 44(10):6360–6376,.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Plug-and-play image restora- tion with deep denoiser prior.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 44(10):6360–6376,

Reference 61

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:191761b71fdb52cf41176de8a338e9eda290d2b10ee19d30def27f470d03cf8b

Observation 66dbde56-5165-4b6a-9d59-1a9a69f8c595 · outbound

This paper cites A poisson-gaussian denoising dataset with real fluorescence microscopy images.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising A poisson-gaussian denoising dataset with real fluorescence microscopy images

Reference 62

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:4649c94d08ae034b1440ff6400b233fd817cf72f39c5815b3344a9f029240863

Observation b86c868c-aaae-45f4-83ea-dd8e99e1832e · outbound

This paper cites Idr: Self-supervised image de- noising via iterative data refinement.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising Idr: Self-supervised image de- noising via iterative data refinement

Reference 63

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:de2a6533a3b8f82280b73d459b952cc3f32bcbb6a9c4a754f5e890f347422180

Observation 86d3d39f-b42f-48a9-bd67-0ffdd58fa614 · outbound

This paper cites W2s: mi- croscopy data with joint denoising and super-resolution for widefield to sim mapping.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising W2s: mi- croscopy data with joint denoising and super-resolution for widefield to sim mapping

Reference 64

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:79be04a1ac6b5aeed7740ec6c02e4b9668f83fa0fdd4e7a1fd12d636c03880e2

Observation 056b9f9f-9ed6-4d24-b2e6-0844e8a22d93 · outbound

This paper cites When awgn-based denoiser meets real noises.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising When awgn-based denoiser meets real noises

Reference 65

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:cd21524ad49a9016671a2d86c368b90ec45304a5622fc408e15319fb422bba5e

Observation 48bfec8b-941e-4804-b38d-d832f9ff99d2 · outbound

This paper cites From learning models of nat- ural image patches to whole image restoration.

Poisson2Gaussian: Noise Gaussianization to Enhance Image Denoising From learning models of nat- ural image patches to whole image restoration

Reference 66

Resolution
unresolved
no resolver link, observed 2026-06-26T08:51:39.469970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:51:39.469970Z digest=sha256:523cee92c5e98d84ba10742c6bfd5096ce5fb24b23f83c4ac58900e57bd74fa3

Pith citing papers

No inbound Pith citation observations are available.