Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:01:50.477552Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 0 inbound Pith citation observations for arXiv:2412.07256.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:01:50.477552Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
97 of 97 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 6863edc6-9673-4958-926a-1f06df68b3d7 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Unprocessing images for learned raw denoising,
Reference 1
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Observation bc330bd1-3eed-4ac4-a4f9-53ae3b75ad10 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Cycleisp: Real image restoration via improved data synthesis,
Reference 2
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Observation 777a39a1-51f5-4441-995b-25c68bf9b7eb · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Noise flow: Noise modeling with conditional normalizing flows,
Reference 3
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Observation efb8b49e-cb62-42d4-a8ab-1b4a7c019c43 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring A physics-based noise formation model for extreme low-light raw denoising,
Reference 4
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Observation 9d68ccc3-58b3-4bd6-8f7d-44c7f38f6ce3 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Practical deep raw image denoising on mobile devices,
Reference 5
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Observation d10f54b0-e38d-4160-91ac-338e536c4c9a · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Rethinking noise synthesis and modeling in raw denoising,
Reference 6
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Observation fe7b7032-9047-492b-899a-7a8b75afda2a · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Noise2noiseflow: Realistic camera noise modeling without clean im- ages,
Reference 7
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Observation 8bc95766-9372-400c-8ceb-4f19efca5785 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deblurgan: Blind motion deblurring using conditional adversarial net- works,
Reference 8
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Observation 93bd2fa3-1d27-4a4a-a3d6-8f0b6b43529a · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deblurgan-v2: Deblur- ring (orders-of-magnitude) faster and better,
Reference 9
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Observation f603f84e-33a9-4a1c-a901-0e5b6005c752 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Rethinking coarse-to-fine approach in single image deblurring,
Reference 10
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Observation de404072-2771-4305-b6ad-5a7f576b0f2d · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Lsd2 - joint denoising and deblurring of short and long exposure images with convolutional neural networks,
Reference 11
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Observation ddea62db-d5ba-4825-b10c-8f10c7752d70 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Low-light image restoration with short-and long-exposure raw pairs,
Reference 12
Source-reported events for the cited work
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Observation 735907d8-beed-4364-91a6-fb1a5eec9501 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring D2hnet: Joint denoising and deblurring with hierarchical network for robust night image restoration,
Reference 13
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Observation a38a76ad-5e9a-4695-b7e6-6df32c3d2458 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Under display camera quad bayer raw image restoration using deep learning,
Reference 14
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Observation f314c76a-f476-422c-a10a-b4e115b9470d · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring HDR Video Reconstruction with Tri-Exposure Quad-Bayer Sensors
Reference 15
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Observation a2a37063-a15e-4743-a4db-8871208daf78 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,
Reference 16
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Observation d0693e94-5330-40e5-b3d7-27c269e29730 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Color imaging array,
Reference 17
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Observation 161ddd29-235c-44a1-a41f-680fcd29547c · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Color filter arrays: Design and performance analysis,
Reference 18
Source-reported events for the cited work
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Observation 61e9858f-255f-4405-b785-da86f8f05406 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Solid state camera,
Reference 19
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Observation 9a113e55-6341-48b5-acf2-fad57733c771 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring A perceptually based design methodology for color filter arrays [image reconstruction],
Reference 20
Source-reported events for the cited work
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Observation b7a57a41-1dbc-45fc-84c6-772067bffc86 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Bayesian-based iterative method of image restora- tion,
Reference 21
Source-reported events for the cited work
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Observation c5955929-954d-477c-acac-188bafb5312f · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Removing camera shake from a single photograph,
Reference 22
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Observation 3fce545e-517b-4919-b4de-94de61c18222 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Edge-based blur kernel estimation using patch priors,
Reference 23
Source-reported events for the cited work
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Observation d20d46cb-106f-4b72-a018-1fb725cf34e1 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Blind deconvolution using a normalized sparsity measure,
Reference 24
Source-reported events for the cited work
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Observation 8811d3da-eb10-42b3-a982-072fd8b40ca7 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deblurring text images via l0-regularized intensity and gradient prior,
Reference 25
Source-reported events for the cited work
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Observation 1d369020-76e3-4503-8d9e-f3283a6674b0 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Learning a convolutional neural network for non-uniform motion blur removal,
Reference 26
Source-reported events for the cited work
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Observation 42e74c1c-cfd8-4c55-b9e5-8b6cedd254bc · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur,
Reference 27
Source-reported events for the cited work
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Observation 1ba39f31-fb2c-459c-9c4f-6208c8d493d2 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deep multi-scale convolutional neural network for dynamic scene deblurring,
Reference 28
Source-reported events for the cited work
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Observation 6062e03a-5dd3-4bc0-be4d-06a2b83d0f73 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Scale-recurrent network for deep image deblurring,
Reference 29
Source-reported events for the cited work
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Observation 53ea4f2c-4acc-44fe-9198-5f3978333c4a · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deep stacked hierarchical multi-patch network for image deblurring,
Reference 30
Source-reported events for the cited work
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Observation 6bb5c8b0-b533-4d5d-8ea7-4187306f224b · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Multi-stage progressive image restoration,
Reference 31
Source-reported events for the cited work
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Observation 57f38340-8bf9-4a1c-bfdb-ae6d04b37753 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Dynamic scene deblurring using spatially variant recurrent neural networks,
Reference 32
Source-reported events for the cited work
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Observation 0a67a2e0-5794-446f-8d66-5cee4ac94b07 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Efficient dynamic scene deblurring using spatially variant deconvolution network with optical flow guided training,
Reference 33
Source-reported events for the cited work
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Observation cf209c57-113e-4526-9c26-80f2138372d6 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Multi-temporal recurrent neural networks for progressive non-uniform single image deblurring with incremental temporal training,
Reference 34
Source-reported events for the cited work
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Observation e5bf583f-7382-48e0-94af-cfe55780f51c · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Hierarchical integration diffusion model for realistic image deblurring,
Reference 35
Source-reported events for the cited work
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Observation 0d43702a-a4c3-46bd-83d7-00e8eddaf35b · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Generative adversarial nets,
Reference 36
Source-reported events for the cited work
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Observation ca2a991f-4851-4122-a9e0-658ef5c4a087 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Reblur2deblur: Deblurring videos via self-supervised learning,
Reference 37
Source-reported events for the cited work
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Observation fab34ad3-0c86-4848-bad6-bf8fada1b0a7 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Unsupervised class- specific deblurring,
Reference 38
Source-reported events for the cited work
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Observation 75cbad77-bf9d-4f8f-9bb5-25d8733239dc · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deblurring by realistic blurring,
Reference 39
Source-reported events for the cited work
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Observation 6701c99d-f690-4631-bcfd-44e2c1ebf383 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Neural blind deconvolution using deep priors,
Reference 40
Source-reported events for the cited work
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Observation a9649e0e-1a81-4b1a-9787-e1a280080b2e · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Test-time fast adaptation for dynamic scene deblurring via meta-auxiliary learning,
Reference 41
Source-reported events for the cited work
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Observation 2e5f1462-971d-4c6d-a4a5-349d4f666fc2 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Scale-space and edge detection using anisotropic diffusion,
Reference 42
Source-reported events for the cited work
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Observation 5541506c-2e59-4f65-9fd5-515a9374357d · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Nonlinear total variation based noise removal algorithms,
Reference 43
Source-reported events for the cited work
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Observation 9e25546e-eb24-462a-b28f-f3c92c81cd68 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Noise removal via bayesian wavelet coring,
Reference 44
Source-reported events for the cited work
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Observation 6c693797-d30f-4b61-8e7b-a96355a7c896 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring A non-local algorithm for image denoising,
Reference 45
Source-reported events for the cited work
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Observation 9b3c6342-597a-4ef7-adfd-8faf706f9096 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring New insights into the noise reduction wiener filter,
Reference 46
Source-reported events for the cited work
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Observation 2a395f86-0b37-4ea7-90c8-d0d753b51a65 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring K-svd: An algorithm for designing overcomplete dictionaries for sparse representation,
Reference 47
Source-reported events for the cited work
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Observation ed00a3de-bdd7-4749-a487-29a234a515ea · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Image denoising via sparse and redundant representations over learned dictionaries,
Reference 48
Source-reported events for the cited work
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Observation 40a82bb2-dfd4-4ebc-893e-d2309379d168 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Non-local sparse models for image restoration,
Reference 49
Source-reported events for the cited work
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Observation 59c2db57-4faa-4738-aad2-508c402431b8 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Image denoising by sparse 3-d transform-domain collaborative filtering,
Reference 50
Source-reported events for the cited work
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Image denoising and inpainting with deep neural networks,
Reference 51
Source-reported events for the cited work
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Observation 887baf2d-4663-44b2-9fe7-cd0b6fa00577 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,
Reference 52
Source-reported events for the cited work
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Observation c19ffb61-89e4-413a-8e4a-febbecd1e255 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration,
Reference 53
Source-reported events for the cited work
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Observation cfa2c0cd-0254-4c4c-8588-509d69c15033 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Learning deep cnn denoiser prior for image restoration,
Reference 54
Source-reported events for the cited work
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Observation 2b823c04-a4d4-48fa-8c8a-e3dd7833c9d9 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,
Reference 55
Source-reported events for the cited work
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Observation be3594d3-466d-45db-8254-3be83a1ffb28 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Memnet: A persistent memory network for image restoration,
Reference 56
Source-reported events for the cited work
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Observation 4ef17ead-0884-471c-8591-5e241fd44b73 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Ffdnet: Toward a fast and flexible solution for cnn-based image denoising,
Reference 57
Source-reported events for the cited work
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Observation 5eb0b40d-b216-41c2-be28-922de70c2288 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Multi-level wavelet- cnn for image restoration,
Reference 58
Source-reported events for the cited work
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Observation a08c4c30-827d-4d50-8863-6a6459e43bd8 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Real image denoising with feature attention,
Reference 59
Source-reported events for the cited work
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Observation d4b8f381-7801-46f7-a856-0bfa7dafdaea · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Attention-guided cnn for image denoising,
Reference 60
Source-reported events for the cited work
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Observation ef689fb2-0a3a-4393-a38c-d92178041e14 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Densely self-guided wavelet network for image denoising,
Reference 61
Source-reported events for the cited work
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Observation 3be0175d-2a86-4284-abfb-49853948a737 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Learning enriched features for real image restoration and enhancement,
Reference 62
Source-reported events for the cited work
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Observation fac6b125-ee80-466b-bdbc-71aea1f604dd · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Nbnet: Noise basis learning for image denoising with subspace projection,
Reference 63
Source-reported events for the cited work
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Observation f98b41f1-39b7-4eba-8dbf-77d56bc49823 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring U-net: Convolutional networks for biomedical image segmentation,
Reference 64
Source-reported events for the cited work
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Observation 4411e560-3b09-4c53-a611-202a014e8565 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deep residual learning for image recognition,
Reference 65
Source-reported events for the cited work
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Observation 5e510a96-8582-4e74-9634-32f583bbf4f2 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Toward robust image denoising via flow-based joint image and noise model,
Reference 66
Source-reported events for the cited work
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Observation 8520e7d4-dad9-4b37-9871-d0c4b31d7601 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Denoising diffusion models for plug-and-play image restoration,
Reference 67
Source-reported events for the cited work
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Observation 5aa45938-814a-43ab-90ee-559bdaeaeeb4 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Toward convolutional blind denoising of real photographs,
Reference 68
Source-reported events for the cited work
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Observation a506e0df-8baf-4d58-8b70-1c18f38527d9 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Variational denoising network: Toward blind noise modeling and removal,
Reference 69
Source-reported events for the cited work
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Observation 03fd8ad2-1ac3-4ab8-83bc-6040b31b3936 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Transfer learning from synthetic to real-noise denoising with adaptive instance normalization,
Reference 70
Source-reported events for the cited work
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Observation dafa23b8-4c86-4ebd-9882-65b1a024e4c7 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Noise2noise: Learning image restoration without clean data,
Reference 71
Source-reported events for the cited work
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Observation f99b74b5-0208-4dd3-b1dc-f1f7d695e823 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Noise2self: Blind denoising by self- supervision,
Reference 72
Source-reported events for the cited work
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Observation 3e80e16c-227b-426a-8a37-a2bfe46bf155 · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Noise2void-learning denoising from single noisy images,
Reference 73
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Unpaired learning of deep image denoising,
Reference 74
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Learning invariant representation for unsupervised image restoration,
Reference 75
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Legacy photo editing with learned noise prior,
Reference 76
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Zero-shot noise2noise: Efficient image denoising without any data,
Reference 77
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Adam: A method for stochastic optimization,
Reference 78
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Reference 79
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Non-uniform deblurring for shaken images,
Reference 80
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Rgb-nir imaging with exposure bracketing for joint denoising and deblurring of low-light color images,
Reference 81
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deformable convolutional networks,
Reference 82
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Reference 83
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Learning to see in the dark,
Reference 84
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Raw image deblur- ring,
Reference 85
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Deep joint demo- saicking and denoising,
Reference 86
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Saliency map- aided generative adversarial network for raw to rgb mapping,
Reference 87
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Reference 88
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring End-to-end learning for joint image demosaicing, denoising and super-resolution,
Reference 89
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Squeeze-and-excitation networks,
Reference 90
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Self-guided network for fast image denoising,
Reference 91
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Demosaicing with directional filtering and a posteriori decision,
Reference 92
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Blind image quality assessment via vision-language correspondence: A multitask learning perspective,
Reference 93
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Image quality assessment: from error visibility to structural similarity,
Reference 94
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Pytorch-opcounter,
Reference 95
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Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Hinet: Half instance normalization network for image restoration,
Reference 96
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Observation 1943069c-d014-413a-a23c-8bfa536ffdaf · outbound
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring Xin Ye received the B.S
Reference 2013
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