NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems | Paper Citation Record

Observation 94b2ab04-9e81-4b53-8ca3-71211f9d44b5 · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems A fast iterative shrinkage-thresholding algorithm for linear inverse problems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.744194Z

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Observation f73b3ffb-4a4d-4998-94ee-41835122645e · outbound

This paper cites Non-Local Means Denoising.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Non-Local Means Denoising

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.756426Z

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Observation 21acd872-71e3-4735-a7dd-b04d013b9eeb · outbound

This paper cites Image denoising: Can plain neural networks compete with bm3d? In 2012 IEEE conference on computer vision and pattern recognition, pages 2392–2399.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Image denoising: Can plain neural networks compete with bm3d? In 2012 IEEE conference on computer vision and pattern recognition, pages 2392–2399

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.768154Z

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Observation 2df024b7-2428-4567-a7c8-03823fb3bf97 · outbound

This paper cites an unresolved cited work.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unresolved cited work

Reference 4

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Observation 73875cd9-a0d8-4635-ad2e-ce450e7499ba · outbound

This paper cites Deep physics-guided unrolling generalization for compressed sensing.International Journal of Computer Vision, 131(11):2864– 2887.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep physics-guided unrolling generalization for compressed sensing.International Journal of Computer Vision, 131(11):2864– 2887

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.747967Z

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Observation 3e1eb84d-422c-48c5-83e9-16f3dfbafb5e · outbound

This paper cites Deep decomposition learning for inverse imaging problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep decomposition learning for inverse imaging problems

Reference 6

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Observation 452829dc-5823-4f2f-84f0-c233f089a7bc · outbound

This paper cites Equivariant imaging: Learning beyond the range space.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Equivariant imaging: Learning beyond the range space

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.763858Z

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Observation b8500138-b31a-41e3-a23c-5a50cd30af44 · outbound

This paper cites Learning to optimize: A primer and a benchmark.Journal of Machine Learning Research, 23(189):1–59.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Learning to optimize: A primer and a benchmark.Journal of Machine Learning Research, 23(189):1–59

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.835283Z

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Observation a51c5a69-c75d-43c4-8f94-5cecb026124c · outbound

This paper cites Theoretical linear convergence of unfolded ista and its practical weights and thresholds.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Theoretical linear convergence of unfolded ista and its practical weights and thresholds

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.838950Z

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Observation bdd71f07-a808-4184-b74c-b392f999149f · outbound

This paper cites Unsupervised range-nullspace learning prior for multispectral images reconstruction.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unsupervised range-nullspace learning prior for multispectral images reconstruction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.829182Z

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Observation ff96aaa4-a9a4-4100-b688-f6c25ada5553 · outbound

This paper cites Null-space diffusion sampling for zero-shot point cloud completion.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Null-space diffusion sampling for zero-shot point cloud completion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.951794Z

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Observation 67515846-8b79-40f8-a135-aa67840f40a2 · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-18T11:16:19.091688Z

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Observation fadf9da6-3275-4116-904e-6fd1532398bf · outbound

This paper cites An analysis of single-layer networks in unsuper- vised feature learning.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems An analysis of single-layer networks in unsuper- vised feature learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.842243Z

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Observation 9f97f556-e458-462f-812d-5fd0e93f777a · outbound

This paper cites Image denoising with block-matching and 3d filtering.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Image denoising with block-matching and 3d filtering

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.848465Z

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Observation 0141fcc0-9bec-4664-8d1c-cdb8b7032c69 · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems A Survey on Diffusion Models for Inverse Problems

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-18T11:16:19.110656Z

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Observation 42526b53-6e37-4743-aa18-37ab7913ac8a · outbound

This paper cites an unresolved cited work.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-18T11:16:19.814705Z

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Observation c00c14c2-bcfe-4132-afa7-3f9441f78f41 · outbound

This paper cites an unresolved cited work.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-18T11:16:19.805603Z

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Observation 2b6fd604-46ff-4d3d-b529-a05e231d4cd0 · outbound

This paper cites Joint sparse and low rank recovery algorithm for compressive hyperspectral imaging.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Joint sparse and low rank recovery algorithm for compressive hyperspectral imaging

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.866602Z

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Observation 3e8ef512-d56c-420d-9e17-91f93d8a6d36 · outbound

This paper cites Deep equilibrium architectures for inverse problems in imaging.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep equilibrium architectures for inverse problems in imaging

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.928989Z

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Observation 4ec841e6-c095-4304-a23e-898590b623f8 · outbound

This paper cites Tikhonov regularization and total least squares.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Tikhonov regularization and total least squares

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.797758Z

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Observation 02fc8bf8-a192-4fa7-9b60-f1cdfa2f2ed0 · outbound

This paper cites Improving compressive imaging recovery via measurement augmentation.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Improving compressive imaging recovery via measurement augmentation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.845544Z

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Observation 2251da4f-5d38-4d56-9b8a-f26b09e6b4f0 · outbound

This paper cites Image restoration.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Image restoration

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.935542Z

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Observation 5657974d-c665-4161-8e2a-44d1d6be6d64 · outbound

This paper cites Denoising diffusion probabilistic models.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Denoising diffusion probabilistic models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.782738Z

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Observation 3253eba0-514a-48bd-a027-57f9c773084a · outbound

This paper cites A Restoration Network as an Implicit Prior.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems A Restoration Network as an Implicit Prior

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:16:19.104878Z

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Observation 2fa487aa-f948-4721-bfc6-b46a3ad235c1 · outbound

This paper cites Stochastic Deep Restoration Priors for Imaging Inverse Problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Stochastic Deep Restoration Priors for Imaging Inverse Problems

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:16:19.116904Z

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Observation e6766463-1467-4c9d-9152-7513611bdc12 · outbound

This paper cites Plug-and-play methods for integrating physical and learned models in compu- tational imaging: Theory, algorithms, and applications.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Plug-and-play methods for integrating physical and learned models in compu- tational imaging: Theory, algorithms, and applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.787025Z

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Observation cb5198ec-589c-4acf-a4e7-04cb551699d0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Adam: A Method for Stochastic Optimization

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-18T11:16:19.121923Z

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Observation 910a435f-1809-4649-ab1d-80b25c844af3 · outbound

This paper cites FastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems FastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.801614Z

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Observation b71dd7d2-65f2-47fe-b8f3-2676da8a050a · outbound

This paper cites Learning multiple layers of features from tiny images.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Learning multiple layers of features from tiny images

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.809036Z

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Observation 5676002a-c8ae-4d73-a2e6-cd6cafb45afc · outbound

This paper cites Learning a projection operator onto the null space of a linear imaging operator.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Learning a projection operator onto the null space of a linear imaging operator

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.794072Z

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Observation 36d7ad2d-cbf4-45f0-a518-f75547a789e3 · outbound

This paper cites LoDoPaB- CT, a benchmark dataset for low-dose computed tomography reconstruction.Sci.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems LoDoPaB- CT, a benchmark dataset for low-dose computed tomography reconstruction.Sci

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.969097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e24fbb45-34b0-483c-91ab-19dabc9eae04 · outbound

This paper cites Recovery analysis for plug-and-play priors using the restricted eigenvalue condition.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Recovery analysis for plug-and-play priors using the restricted eigenvalue condition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.965208Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6277a20e-7af4-4763-836b-ce92f13eb8ee · outbound

This paper cites Accelerated MRI with CIRcular cartesian UnderSampling (CIR- CUS): a variable density cartesian sampling strategy for compressed sensing and parallel imaging.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Accelerated MRI with CIRcular cartesian UnderSampling (CIR- CUS): a variable density cartesian sampling strategy for compressed sensing and parallel imaging

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.775383Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0466f177-c820-4e9c-b0d6-47ccd7520c4b · outbound

This paper cites A convnet for the 2020s.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems A convnet for the 2020s

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.778921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e3fe4a59-83ea-4a40-ac3a-47d02361bf6d · outbound

This paper cites Deep learning face attributes in the wild.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep learning face attributes in the wild

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.790747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4cc88bd-c180-4bac-9f9a-32d6cc24b44a · outbound

This paper cites Decoupled weight decay regularization.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Decoupled weight decay regularization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.818405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c060f57-8a1d-4a5f-bdba-8d699c3f4c09 · outbound

This paper cites Compressed sensing mri.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Compressed sensing mri

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.811726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 305fc066-cdee-44cf-906c-a06afdbb1e12 · outbound

This paper cites Improving medical image denoising via a lightweight plug-and-play module.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Improving medical image denoising via a lightweight plug-and-play module

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.945187Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccba6881-0340-473b-ae35-c12143b13cd3 · outbound

This paper cites Compressive sensing with augmented measurements via generative self-distillation.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Compressive sensing with augmented measurements via generative self-distillation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.938563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 42916305-382a-487f-99ce-0f55e695d946 · outbound

This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.825774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a70fc726-d2c8-40c3-a069-89eb7dce1a61 · outbound

This paper cites Proximal algorithms.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Proximal algorithms

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.771557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d8e92de3-fad7-488f-99eb-1204491bf01e · outbound

This paper cites The little engine that could: Regularization by denoising (red).

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems The little engine that could: Regularization by denoising (red)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.821393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 47f77e54-3803-4c46-b061-43d3b3da1fe1 · outbound

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

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems U-net: Convolutional networks for biomedical image segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.916255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd54b9e8-37c7-4839-a8b2-e47a8da6dbe6 · outbound

This paper cites Plug-and-play methods provably converge with properly trained denoisers.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Plug-and-play methods provably converge with properly trained denoisers

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.923492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e2fa955-bc6a-4f6d-9115-0973e695015b · outbound

This paper cites Theoretical perspectives on deep learning methods in inverse problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Theoretical perspectives on deep learning methods in inverse problems

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.932559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd568eec-bed7-4357-bf75-6467180e8569 · outbound

This paper cites Deep null space learning for inverse problems: convergence analysis and rates.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep null space learning for inverse problems: convergence analysis and rates

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.948728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03c8e340-4bc9-45f6-8a3a-9e3b1117eb80 · outbound

This paper cites Iterative projections for signal identification on manifolds: Global recovery guarantees.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Iterative projections for signal identification on manifolds: Global recovery guarantees

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.920544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5967db01-fa50-4a93-a2c1-ed91d5f814c2 · outbound

This paper cites Deep unsu- pervised learning using nonequilibrium thermodynamics.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep unsu- pervised learning using nonequilibrium thermodynamics

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.909014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 00d38db8-216f-487d-b310-c603c34ec553 · outbound

This paper cites Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:16:19.082107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a6a2e481-f64e-4870-86b9-63a8e8dd8270 · outbound

This paper cites Denoising diffusion implicit models.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Denoising diffusion implicit models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.901036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c02ab327-5104-44c5-a545-8e569f142125 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Score-based generative modeling through stochastic differential equations

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.896700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c01cda2-373d-4add-b7e2-8dcf87493f76 · outbound

This paper cites Image restoration and reconstruction using targeted plug-and-play priors.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Image restoration and reconstruction using targeted plug-and-play priors

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.885202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ecd32427-4055-4cf7-b448-2943dee1cf86 · outbound

This paper cites FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:16:19.076957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a9930f8-0eb6-47eb-a785-7aefb0b37cce · outbound

This paper cites Equivariant plug-and- play image reconstruction.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Equivariant plug-and- play image reconstruction

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.888835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9319a5b5-2a68-4449-8546-ed0cc239ae38 · outbound

This paper cites Deep image prior.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Deep image prior

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.912511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a41cdbff-1129-4c0e-96d6-2379840cf53c · outbound

This paper cites Venkatakrishnan, Charles A.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Venkatakrishnan, Charles A

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.958412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f6bef95b-d347-4b0a-ba1a-56c36509d34b · outbound

This paper cites Gan prior based null-space learning for consistent super-resolution.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Gan prior based null-space learning for consistent super-resolution

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.874146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9556e608-3293-4916-b2ed-a76a35ceca99 · outbound

This paper cites Unlimited-size diffusion restoration.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unlimited-size diffusion restoration

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.870185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45dffb73-3a30-4b09-8a99-8229d5170b00 · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:16:19.099502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29b59ae2-15fd-45c7-82d8-c486801dd79a · outbound

This paper cites Iterative reconstruction techniques for computed tomography part 1: technical principles.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Iterative reconstruction techniques for computed tomography part 1: technical principles

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.877713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dc2ab651-bc1b-4375-ab62-fd5f98699358 · outbound

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

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Restormer: Efficient transformer for high-resolution image restoration

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.881611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eba2bf03-b4e4-438b-b5f3-f108d03dd45d · outbound

This paper cites Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.892172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efc44245-5a3e-4b36-aab4-150b399b8946 · outbound

This paper cites Plug-and- play image restoration with deep denoiser prior.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Plug-and- play image restoration with deep denoiser prior

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.962120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 81d863e7-60aa-4097-a553-b19b0fe79f4e · outbound

This paper cites Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.904664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9d0564dd-2889-45ec-b7a0-550d44de90b1 · outbound

This paper cites Places: A 10 million image database for scene recognition.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Places: A 10 million image database for scene recognition

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.955456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92b70fbd-62c6-427a-be11-78bee9ca6acc · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Denoising diffusion models for plug-and-play image restoration

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.941555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2b14c0ad-247b-4223-a90b-ebe697686f56 · outbound

This paper cites an unresolved cited work.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-05-18T11:16:19.855103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 87ce0ceb-ea14-4e98-842a-395881adddd6 · outbound

This paper cites an unresolved cited work.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-05-18T11:16:19.859058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 522066b6-a48e-48a2-b93f-47c02c53b17b · outbound

This paper cites • Network R and Rn: is a lightweight version of the U-Net architecture for image segmenta- tion.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems • Network R and Rn: is a lightweight version of the U-Net architecture for image segmenta- tion

Reference 69

Resolution: malformed identifier; raw_fallback, observed 2026-05-18T11:16:19.851999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 165bfb6b-d359-4ced-8838-6bbb74599ea9 · outbound

This paper cites (3) on each dataset further improves it.

NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems (3) on each dataset further improves it

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T11:16:19.862743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Outbound references

Pith citing papers