Pith. sign in

Paper Citation Record · LEDGER

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations

As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.08198.

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

pith.paper-citation-record.v1
2607.08198 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T11:29:19.114569Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

64 of 64 outbound references displayed

  • verified exact5
  • verified fuzzy58
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4cb8a9f-9a33-4c20-9365-962d317959c1 · outbound

This paper cites Ntire 2020 challenge on real image denoising: Dataset, methods and results.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Ntire 2020 challenge on real image denoising: Dataset, methods and results

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.839111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:670bed8f9104146a71ebc940be47d519f5354dd3877d98e43bd2200963c52313

Observation 76acab6b-0fe5-4656-9ed2-ac2c4fd47221 · outbound

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

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations A high-quality denoising dataset for smartphone cameras

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.833815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:188cbb9750c886bfe6dbb4156af033638e13a4582c033d89f47eced10a05ef17

Observation 42282c7b-38cc-4f87-bb02-e9a76eac8842 · outbound

This paper cites Enhancing low-resolution image representation through normalizing flows.arXiv preprint arXiv:2601.06834, 2026.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Enhancing low-resolution image representation through normalizing flows.arXiv preprint arXiv:2601.06834, 2026

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-10T11:37:03.449242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:d2fd94e4de22b8bc9ed63d1dcc29d345462ab39b306aaa489f831433220d6bc6

Observation 5d80a27c-4626-4d2e-9c12-00d2cf6d58ed · outbound

This paper cites Topaz-denoise: general deep denoising models for cryoem and cryoet.Nature communications, 11(1):5208, 2020.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Topaz-denoise: general deep denoising models for cryoem and cryoet.Nature communications, 11(1):5208, 2020

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.826817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:1e003d0660290f65403af32f195807fa2a8dbfb9bc278f2e0e32622bd55c8b01

Observation 62b1e707-d8fe-4625-bfc9-73f79b435250 · outbound

This paper cites Un- processing images for learned raw denoising.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Un- processing images for learned raw denoising

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.820573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:a7c3fb71a208d4ec0422c1e806f3408601c49071e9cf0cc7f6f9abd2765a8889

Observation 75e78918-0ef1-4a4a-b733-1da76339e127 · outbound

This paper cites 2.8 ˚ a reso- lution reconstruction of the thermoplasma acidophilum 20s proteasome using cryo-electron microscopy.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations 2.8 ˚ a reso- lution reconstruction of the thermoplasma acidophilum 20s proteasome using cryo-electron microscopy

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.813823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:f3db59d7686a658b743cac16328ac8d9729e58a5500814a373b80116d960762a

Observation 23dae6c4-28e6-41b9-ae13-8a1f0eb9aa15 · outbound

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

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Exploring efficient asymmetric blind-spots for self-supervised denoising in real-world scenarios

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.806454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:5a685d650573e44127460d1665e529171edd455192c323e4b919ba73f73671ff

Observation 8bb80083-a7e6-45bb-b526-77536df5b2a6 · outbound

This paper cites Unpaired deep image dehazing using contrastive disentanglement learning.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Unpaired deep image dehazing using contrastive disentanglement learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.800428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:0a8153ab1b62ebf1d2aac62bcc8398dcef5689410fc491308737c234ddc4a69d

Observation ec0cf0f9-dd19-4d63-b872-f512a9cdc163 · outbound

This paper cites Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.456436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:bb720cc37812d811889068f4344ba535f7ddcf22c5835971c6580a6a2dab10b0

Observation 3a4cb3ca-3a63-48b4-8d04-3fb171f14451 · outbound

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

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Image denoising by sparse 3-d transform-domain collaborative filtering.IEEE Transactions on image processing, 16(8):2080–2095, 2007

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.789836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:392e1e46b2f079679133535259d1f9e7ffb71cc7e7fd380e28b25c308613aef7

Observation 67b4428b-76ab-4266-8c8f-3c9149c9ecde · outbound

This paper cites Framelets: Mra-based wavelet frames and applications.Applied and Computational Harmonic Analysis, 14(1):1–46, 2003.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Framelets: Mra-based wavelet frames and applications.Applied and Computational Harmonic Analysis, 14(1):1–46, 2003

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.783964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:2ebeb40af54bdb0f7915ae1392f7852c103d141e64267e861ec17aa00081ff14

Observation 71a959b1-c85c-4bf0-ad13-d2e3f4419c33 · outbound

This paper cites Unsupervised visual representation learning by context prediction.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Unsupervised visual representation learning by context prediction

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.774011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:96e9deeab1e69f53cf3ad028847d95ba9fd693a44de1f1e74108652cf1a6c6c9

Observation 6d1c3e23-334a-438d-a6c0-990cad586ac9 · outbound

This paper cites Relations between the statistics of natural images and the response properties of cortical cells.Journal of the Optical Society of America A, 4(12):2379–2394, 1987.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Relations between the statistics of natural images and the response properties of cortical cells.Journal of the Optical Society of America A, 4(12):2379–2394, 1987

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.775109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:102aa95d1a445c593a604c82c1043e136be28ca0793ef1d5e1cd1facc6740396

Observation c4be554c-1522-4217-a213-c2bb44a99e61 · outbound

This paper cites Bock, Cristina Maracci, Zhe Wang, Alena Paleskava, Andrey L.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Bock, Cristina Maracci, Zhe Wang, Alena Paleskava, Andrey L

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.777558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:b074f99af604a85d05050bb16e4d5972eb6f813ab5fa9681702f7ff552b11ab9

Observation 9f719ae4-2059-42cb-bfd5-248f2c4102eb · outbound

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

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Srgb real noise synthesizing with neighboring correlation- aware noise model

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.890626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:ac23dca79da4e89be530a89e2cca098582f9b587ab08c2db52b1cc86dc454dfc

Observation 4dcb228c-de25-42ac-8972-24625f71dc30 · outbound

This paper cites Academic Press, 2nd edition, 1990.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Academic Press, 2nd edition, 1990

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.885629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:82c5cc3b0bd56dbe4e3026d6b9a1f8239c5e39f60b83348ee52de781d615ba39

Observation adfc83f4-fa37-4092-a040-b0fb4ade5582 · outbound

This paper cites Toward convolutional blind denoising of real photographs.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Toward convolutional blind denoising of real photographs

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.880971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:7ecc129db49ece56f8bfeec4a7634daf66e47ecd9e7b23a650658786e806d246

Observation daff8cfd-743d-4884-85c8-503385a35107 · outbound

This paper cites A class of fast gaussian binomial filters for speech and image processing.IEEE Transactions on Signal Processing, 39(3):723–727, 1991.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations A class of fast gaussian binomial filters for speech and image processing.IEEE Transactions on Signal Processing, 39(3):723–727, 1991

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.875551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:49db8c5923be908dbd15aaeee91d0e89a835150808696f9eeace24cf9395047c

Observation e4272c8d-8c32-4519-9b92-f6dfaec17577 · outbound

This paper cites Masked autoen- coders are scalable vision learners.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Masked autoen- coders are scalable vision learners

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.867544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:6ddac158ef58251e2ff97ae9aa53a99682fd3691c70be825a4b34d2f25f47256

Observation 893c0953-d14e-4ae9-90f8-1399e5ae4a3a · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.860256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:60ce8b6dd988a0203bed8a7f4663d76addcc5300a487e0b4c7ed29b27bbf2d89

Observation d9293607-9a49-4cc4-ab9a-d638a0bf6545 · outbound

This paper cites Cycada: Cycle-consistent adversarial domain adaptation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Cycada: Cycle-consistent adversarial domain adaptation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.849376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:6aee745d94ba324b3bb16af77e27617b9ce4d45d5a2936c8bd7c70cb6f5b1933

Observation cda892da-11b5-4a98-839d-fb63d1e6bb70 · outbound

This paper cites Qs-attn: Query-selected attention for contrastive learning in i2i translation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Qs-attn: Query-selected attention for contrastive learning in i2i translation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.842585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:6aa72e9d2aec8d05e872af67fac5c5c43dba5a4780fbc2f41c6f1c8307071a6a

Observation 8aa82f86-4d88-4823-9984-c82ff5bdf22e · outbound

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

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Neighbor2neighbor: Self- supervised denoising from single noisy images

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.837153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:443561a144c0211ca70fe9729b6eb4dd2418a77ac06ddb6d59d0cc1769e375b5

Observation b6cb1618-28bf-45aa-b8bc-de8cd0dc4343 · outbound

This paper cites Multimodal unsupervised image-to-image translation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Multimodal unsupervised image-to-image translation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.835567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:bfc476c3711ba11e3212c49082272cbf87765055260388eb94426a3b702b5655

Observation f7811392-a025-4a0e-8d45-36a82daaf00d · outbound

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

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations C2n: Practical generative noise modeling for real-world denoising

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.831150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:16d129a8c9e9aa1a7fbee48084b660f18511d04c9f87599f4abc1ee237778cac

Observation 6a1b4da4-8315-4078-a111-666ddef82bd0 · outbound

This paper cites EnlightenGAN: Deep light enhancement without paired supervision.IEEE Transactions on Image Processing, 30:2340–2349, 2021.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations EnlightenGAN: Deep light enhancement without paired supervision.IEEE Transactions on Image Processing, 30:2340–2349, 2021

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.829516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:09d2e85a042efe91619f4629d27d193d3743ab9332be7061a120bc6291c70428

Observation 80f0223b-c556-4fd0-82ad-97251a80d589 · outbound

This paper cites srgb real noise modeling via noise-aware sampling with normalizing flows.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations srgb real noise modeling via noise-aware sampling with normalizing flows

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.824527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:49d167776b33a0101d7cb4fb132ccb3d97ff4fd973f52b28edf8ac4c0f4910fc

Observation 25c079f9-f3e6-4bf9-ba73-5fc51bc8bd8d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Adam: A Method for Stochastic Optimization

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.446770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:1b3ede7601611768707a6bd88a466cf57a663f54f1e314bc01b39bd619f5ed62

Observation 4132e358-34b9-4032-a84c-2398bf59877a · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Glow: Generative flow with invertible 1x1 convolutions

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.822264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:a362142962eadbf9097ea4cabda2de8350c72f7d3be364f37e4c52bf4c69d111

Observation f54beb27-88e2-490c-9a19-19af5002fde2 · outbound

This paper cites Modeling srgb camera noise with normalizing flows.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Modeling srgb camera noise with normalizing flows

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.818216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:66d38a537d7770a49ad77831442b85a000cba80d6fcb39411fd4a0f312aac1e9

Observation 3aaae807-410e-4d71-9cbb-2291640952f6 · outbound

This paper cites Imagenet classification with deep convolu- tional neural networks.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Imagenet classification with deep convolu- tional neural networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.815942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:e791e04ce6d5804350bc8ecb2207147fdec3c58fbf6b1e34ff9e870f061242c7

Observation 7c74c18b-38fc-4285-bc2b-79189e52a2a4 · outbound

This paper cites Deep learning.nature, 521(7553):436–444.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Deep learning.nature, 521(7553):436–444

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.811965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:61f3cfbdd55e9886ebfbaf81014eb3a267fa73e3239d8dd39f9744e34c272fb2

Observation f7c9f1ef-ece0-4663-93d8-2830b30a04ec · outbound

This paper cites Drit++: Diverse image-to-image translation via disentangled representations.International Journal of Computer Vision, 128(10):2402–2417, 2020.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Drit++: Diverse image-to-image translation via disentangled representations.International Journal of Computer Vision, 128(10):2402–2417, 2020

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.808795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:f021f86bc17840f1bb979850d560d42b93aacdd00984833fbdf4525a09ff24e5

Observation 8aa68556-8ffe-499f-88a4-98f480e10bb4 · outbound

This paper cites an unresolved cited work.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-07-10T11:47:03.805084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:86cc8733e6af246c6a676f2bbd880aad56dae5cc88b6e8e3d99017d06978924c

Observation f0eff515-b1de-4356-8af1-3f607364a322 · outbound

This paper cites Noise-transfer2clean: denoising cryo-em images based on noise modeling and transfer.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Noise-transfer2clean: denoising cryo-em images based on noise modeling and transfer

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.802974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:d928e229d8b9584a6f33dfe27f3d077da85cd441d78505ec2c6b83536e637778

Observation 10198039-41be-4f16-be93-bf3aa9beb215 · outbound

This paper cites Dual contrastive learning for unsupervised image-to-image translation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Dual contrastive learning for unsupervised image-to-image translation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.798179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:938b2d13b0dd835c6b9c7e058a8e173a9a783df20615a607d1d9106a5368445f

Observation b6f3b269-9a93-4d52-8db4-7f13076a0f01 · outbound

This paper cites Multi-level wavelet-cnn for image restoration.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Multi-level wavelet-cnn for image restoration

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.795794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:6ef176bd18d58443e908f5e95ffab710fc063fa268cf73aba62b28530922448a

Observation 87c91dbc-3425-4841-9b84-df2ad72adee3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Decoupled Weight Decay Regularization

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.444139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:a45d7d040bcbd6778cb395bb6eb5fd9cb89c6fc3837db3a74574e0410cd9e369

Observation b5e0ef2e-d772-4b80-84ce-8bfb3614721a · outbound

This paper cites A theory for multiresolution signal decomposition: the wavelet representation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations A theory for multiresolution signal decomposition: the wavelet representation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.788009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:470ac551ddacfd8cd57098a67da17344e20692b6a8fedee7f0bdc4a4ccf4192a

Observation cf558391-494d-40e7-9610-91f6158a2208 · outbound

This paper cites Cyclenet: Rethinking cycle consistency in text-guided diffusion for image manipulation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Cyclenet: Rethinking cycle consistency in text-guided diffusion for image manipulation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.786075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:6de3de8da3a79967d00892f149e09cadd17f852d9164b78fafc942fb2b2831bc

Observation d32d0326-a716-405d-a1f2-f54b7e7b69e6 · outbound

This paper cites A holistic approach to cross-channel image noise modeling and its application to image denoising.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations A holistic approach to cross-channel image noise modeling and its application to image denoising

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.781889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:44fb3ef58d34772951b66ee70f6dd3d780a8203c687b6bfc98ea8585870cd712

Observation 93d3894d-0eab-47fc-b410-728f63bf0fdb · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations DINOv2: Learning Robust Visual Features without Supervision

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.452867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:dcd064bbd04327ab550e472b85391759b2ad6f76907539cd498b60d6ba280417

Observation c374f1b4-90af-4f1f-b8f3-40f2abe2053d · outbound

This paper cites Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.779958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:5d265c9599195034c8d7ed3aa1da057a38927365226be82b880490919d7868f7

Observation 591f75d9-0100-4c36-b584-f3668df8e871 · outbound

This paper cites Contrastive learning for unpaired image-to-image translation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Contrastive learning for unpaired image-to-image translation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.776499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:2a3047cf257880cd89fdff5515c81d0c482a8be47eefccfe8653aae8234131b3

Observation 8d554430-05b3-4bb2-9af3-aa3d11f17d22 · outbound

This paper cites One-step image translation with text-to-image models.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations One-step image translation with text-to-image models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.771901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:3ced681362d9d640ee217f209d5add5fc8cefbdc68f3a6208a9e1309b22ac59f

Observation 5249cc42-e095-4cb4-82bd-27b7719331ff · outbound

This paper cites Benchmarking denoising algorithms with real photographs.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Benchmarking denoising algorithms with real photographs

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.769653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:7d3c4517683b3949800b62e46d70573d63c42fbb577db9a710549ad2da34186f

Observation add8d51d-c4bb-4475-ad34-411a318a547e · outbound

This paper cites Unsupervised representation learning with deep con- volutional generative adversarial networks.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Unsupervised representation learning with deep con- volutional generative adversarial networks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.764581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:a9237814f2a905aa8c2eaf2b056eed5c35b0f29419dde109f99b20f19da54c6b

Observation 26351566-e2b6-4164-be53-71f3210d7cc0 · outbound

This paper cites Statistics of natural images: Scaling in the woods.Advances in neural information processing systems, 6, 1993.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Statistics of natural images: Scaling in the woods.Advances in neural information processing systems, 6, 1993

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.762601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:30c0128800f32c7b7f00ac754a6ef9cfea2c38f278798f1ed093dfb753e27c82

Observation 4b5d69c7-0d28-47a5-935f-f3ae2e972e93 · outbound

This paper cites Comprehensive integration of single-cell data.Cell, 177(7):1888–1902, 2019.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Comprehensive integration of single-cell data.Cell, 177(7):1888–1902, 2019

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.760097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:0beb10704df1b2d5fe8a2d53f3c03ec56dd7d89627a395373005c26d810d0468

Observation abefbeed-3b17-4c36-9832-680859032be0 · outbound

This paper cites Dual diffusion implicit bridges for image- to-image translation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Dual diffusion implicit bridges for image- to-image translation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.888916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:d88910d933af4ddff0600c8b14b8886e0c75d60e44e34271f88e2ee49ab10fda

Observation 65c14301-18f8-4082-8a36-481fb9218eac · outbound

This paper cites Deep image prior.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Deep image prior

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.887206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:1142170433e319238c1cdddb74eeb292b50bc60fcff1fd912b61a9dcf1024cb2

Observation 147e4b60-d23b-4549-a3b9-1bf3739f7172 · outbound

This paper cites Nvae: A deep hierarchical variational autoencoder.Advances in neural information processing systems, 33:19667–19679, 2020.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Nvae: A deep hierarchical variational autoencoder.Advances in neural information processing systems, 33:19667–19679, 2020

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.883651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:85e9c120fef335e1ac685dc928907473b07890aa827080288bb5c03311827abe

Observation 5243e20f-e797-4a53-8af4-ae0f4e48b97f · outbound

This paper cites Deflow: Learning complex image degradations from unpaired data with conditional flows.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Deflow: Learning complex image degradations from unpaired data with conditional flows

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.882735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:7b7eae36ee6bd3616bab3d226d8316708094b429c484664f040c6a394e52690a

Observation 29e354d5-fa6d-459f-a873-4a23afebf473 · outbound

This paper cites Cryo-em structure of thePlasmodium falciparum 80s ribosome bound to the anti-protozoan drug emetine.eLife, 3:e03080, jun 2014.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Cryo-em structure of thePlasmodium falciparum 80s ribosome bound to the anti-protozoan drug emetine.eLife, 3:e03080, jun 2014

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.879363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:e79f4b4184e4fd6e71f6f6b4122a062f324b2a7f7e3e25e2b8dc55612cb11875

Observation 31ab60b0-05fd-4b24-be56-f827d7a3ef19 · outbound

This paper cites Xie et al.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Xie et al

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.877521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:8be39eba1d223568b36c4cdf52493ffae8f61eef23c29e4a636186c2fbe11dc7

Observation 13c70759-fbe7-4a4c-91a8-842eb45ffc4d · outbound

This paper cites Real-world noisy image denoising: A new benchmark.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Real-world noisy image denoising: A new benchmark

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.873515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:9053de87b450b2e1271d883c007cba9c777e272b173af6e8f2f052400c56fa2f

Observation 3b4ab0d1-ee14-4fc7-a1f1-b35e9841e78b · outbound

This paper cites Self-augmented unpaired image dehazing via density and depth decomposition.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Self-augmented unpaired image dehazing via density and depth decomposition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.871321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:aad6b2bdb71c13eb860f934e84e0b40367eac687df1c021420924ba0a7242aa2

Observation a1a4e055-ca6f-4243-b665-671a9a5a5888 · outbound

This paper cites Dual adversarial network: Toward real-world noise removal and noise generation.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Dual adversarial network: Toward real-world noise removal and noise generation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.865212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:50823841e630b55cf8e2a729ca2cc5c37ebe6b58b6bee5afc249474362e4397a

Observation 8bf4b635-94f2-4134-b784-f8ae44366a10 · outbound

This paper cites Plug-and-play image restoration with deep denoiser prior.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6360–6376, 2021.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Plug-and-play image restoration with deep denoiser prior.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10):6360–6376, 2021

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.862868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:bc6809bb83997261acf8bf9620d87b85d529a7188765c05247f5e81f1ed9ab99

Observation 0c117f97-7189-47cc-a4db-37fb20baac8e · 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.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations 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
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.857005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:48e7386ab62a9a0f05603436b25d50d8dadcadfe6f48b85d02fe1dead6a47197

Observation b5a8c08d-e72b-4fcd-9fa8-7f471d029fda · outbound

This paper cites Residual dense network for image super-resolution.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Residual dense network for image super-resolution

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.852971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:4794bf6fdb6a2d0a706ccb0677f44ea2532f6fc018c9a11fb5159df83c896a5a

Observation 11d270e8-58a1-4876-8179-5a0b78d4c226 · outbound

This paper cites Learn from unpaired data for image restoration: A variational bayes approach.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5):5889–5903, 2022.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Learn from unpaired data for image restoration: A variational bayes approach.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(5):5889–5903, 2022

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.846923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:92f65eda38faf5198721ea9278e02f51ef67be838bc857bdcf80718fc0d43639

Observation 69ec231f-3d51-4c09-8e74-90b5cae7ad77 · outbound

This paper cites Senm-vae: Semi-supervised noise modeling with hierarchical variational autoencoder.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Senm-vae: Semi-supervised noise modeling with hierarchical variational autoencoder

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.844769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:622032a2edf1aa4209a947f87040c923df50b14085f5fb6e490c00bb3596a2ac

Observation 3033ac9f-9b3e-4d32-b095-f7e33fb36fce · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Unpaired Joint Distribution Modeling via Multi-Scale Image Representations Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T11:47:03.840869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T11:29:19.114569Z digest=sha256:7ca52ca9d6d2cec5a6fc1a50bc177f33d78d0cb98e3ab9efa2829262c1d7b631

Pith citing papers

No inbound Pith citation observations are available.