Unpaired Joint Distribution Modeling via Multi-Scale Image Representations | Paper Citation Record

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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