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Paper Citation Record · LEDGER

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

As of 15 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:1908.03826.

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

pith.paper-citation-record.v1
1908.03826 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:04:04.146042Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

56 of 56 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0699950-14be-4c04-a7fb-a5a751f8b537 · outbound

This paper cites http://pytorch.org.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better http://pytorch.org

Reference 1

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Observation 815296f6-ded2-433d-a089-52f1947e81c6 · outbound

This paper cites Wasserstein GAN.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Wasserstein GAN

Reference 2

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Observation f8ea6cfd-7dd3-484f-a520-c7420064d5f9 · outbound

This paper cites Rank analysis of incomplete block designs: I.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Rank analysis of incomplete block designs: I

Reference 3

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Observation 3ed036b6-bf95-4be3-8c97-183f0ab3c038 · outbound

This paper cites Albumentations: fast and flexible image augmentations.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Albumentations: fast and flexible image augmentations

Reference 4

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Observation a751fdd3-f8fa-482b-a9b9-c9caa7f58130 · outbound

This paper cites A new single image deblurring algorithm using hyper laplacian priors.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better A new single image deblurring algorithm using hyper laplacian priors

Reference 5

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Observation 9a51963b-6f74-4145-a51f-b3705251eb1d · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Xception: Deep learning with depthwise separable convolutions

Reference 6

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Observation 99a8040f-0891-453c-99b0-fc33d7e4f66d · outbound

This paper cites Burst deblurring: Removing camera shake through fourier burst accumulation.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Burst deblurring: Removing camera shake through fourier burst accumulation

Reference 7

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Observation 05112b66-e5de-4500-9dbc-2d644d8eeda6 · outbound

This paper cites From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

Reference 8

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Observation 2a01b759-b830-491c-b007-65e981e391e8 · outbound

This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio

Reference 9

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Source-reported events for the cited work

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Observation 89731cac-858e-4671-973b-a1519893838e · outbound

This paper cites Improved training of wasserstein gans.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Improved training of wasserstein gans

Reference 10

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Observation 1b8ba612-602d-4d72-8a4b-00c15654a332 · outbound

This paper cites Channel pruning for accelerating very deep neural networks.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Channel pruning for accelerating very deep neural networks

Reference 11

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Observation ec605975-3995-4e5f-8de5-5895a802339b · outbound

This paper cites Squeeze-and-excitation net- works.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Squeeze-and-excitation net- works

Reference 12

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Observation 935dd236-3c20-4903-b5d4-89242568df5a · outbound

This paper cites Image-to-image translation with conditional adver- sarial networks.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Image-to-image translation with conditional adver- sarial networks

Reference 13

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Observation 415770ea-daf7-4234-ac86-3b422dd3b4e1 · outbound

This paper cites EnlightenGAN: Deep Light Enhancement without Paired Supervision.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better EnlightenGAN: Deep Light Enhancement without Paired Supervision

Reference 14

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Observation eb0feac8-79ed-4fc6-8c04-ae616ff38406 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Perceptual losses for real-time style transfer and super-resolution

Reference 15

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Observation 6e35320b-0112-41d3-94bd-ca8fd7b031c8 · outbound

This paper cites The relativistic discriminator: a key element missing from standard GAN.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better The relativistic discriminator: a key element missing from standard GAN

Reference 16

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Observation ecef5cf7-c2ec-4aa8-9596-2ae1e97d3d8b · outbound

This paper cites Need for speed: A benchmark for higher frame rate object tracking.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Need for speed: A benchmark for higher frame rate object tracking

Reference 17

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Observation f991d989-ebd7-4ed0-bddf-2f4e26c74305 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Adam: A Method for Stochastic Optimization

Reference 18

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Observation 39fc71af-0ed4-48da-8af2-fe935435f191 · outbound

This paper cites Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database

Reference 19

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Observation a84c86e7-685c-4e0d-8100-d505a056056d · outbound

This paper cites Blind de- convolution using a normalized sparsity measure.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Blind de- convolution using a normalized sparsity measure

Reference 20

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Observation c2e6c789-794b-4dbf-876c-93d9050659f3 · outbound

This paper cites Deblurgan: Blind motion deblurring using conditional adversarial networks.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Deblurgan: Blind motion deblurring using conditional adversarial networks

Reference 21

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Observation 37260939-e6a0-4cf1-8f50-96164510f868 · outbound

This paper cites A comparative study for single im- age blind deblurring.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better A comparative study for single im- age blind deblurring

Reference 22

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Observation 14e4c9ac-01db-4051-9104-f2f8c7dd33e8 · outbound

This paper cites Photo- realistic single image super-resolution using a generative ad- versarial network.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Photo- realistic single image super-resolution using a generative ad- versarial network

Reference 23

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Observation edcb4763-40ff-4174-ac15-f575a7ab6da4 · outbound

This paper cites Benchmarking single- image dehazing and beyond.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Benchmarking single- image dehazing and beyond

Reference 24

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Observation eb21b9a5-1122-421c-ba5c-0ce3524d7557 · outbound

This paper cites Learning a discrimina- tive prior for blind image deblurring.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Learning a discrimina- tive prior for blind image deblurring

Reference 25

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Observation 4fe923ce-bbf7-4583-8515-384fea1e5e8e · outbound

This paper cites Sin- gle image deraining: A comprehensive benchmark analysis.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Sin- gle image deraining: A comprehensive benchmark analysis

Reference 26

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Source-reported events for the cited work

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Observation c914dc09-2436-4dec-8528-c00a26508849 · outbound

This paper cites Feature pyramid networks for object detection.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Feature pyramid networks for object detection

Reference 27

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Observation f3c52fe1-faeb-466f-b009-bab85c739a3f · outbound

This paper cites Robust video super-resolution with learned temporal dynamics.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Robust video super-resolution with learned temporal dynamics

Reference 28

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Source-reported events for the cited work

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Observation 52401975-96dd-42ae-ad76-894ea5485279 · outbound

This paper cites When image denoising meets high-level vision tasks: a deep learning approach.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better When image denoising meets high-level vision tasks: a deep learning approach

Reference 29

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2b7119ab-196b-4abc-bbda-f5bfc73ffa74 · outbound

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DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Unresolved cited work

Reference 30

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Observation 46f2deb5-74af-41d1-8139-dfa9e9c780f6 · outbound

This paper cites Conditional Generative Adversarial Nets.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Conditional Generative Adversarial Nets

Reference 31

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Observation 30836571-11a1-4007-aeea-d38ccb35e9b1 · outbound

This paper cites LSD$_2$ -- Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better LSD$_2$ -- Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs

Reference 32

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Observation af551434-cf21-4af4-a625-85d4a091261c · outbound

This paper cites Deep Multi-scale Convolutional Neural Network for Dy- namic Scene Deblurring.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Deep Multi-scale Convolutional Neural Network for Dy- namic Scene Deblurring

Reference 33

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verified fuzzy
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2c0336b0-0375-474d-adde-f6bc13f16a6b · outbound

This paper cites Video frame inter- polation via adaptive separable convolution.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Video frame inter- polation via adaptive separable convolution

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1efa2f92-1ff7-4ffc-bb9b-1994fd0b109b · outbound

This paper cites Motion Deblurring in the Wild.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Motion Deblurring in the Wild

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.657288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.045430Z digest=sha256:6505afb8bf8123a9962aa038d5cb4ab79b89fd3450b15de8023ac1ff7f3fac0c

Observation 452edec4-216b-40ea-8679-a7e800ab81b0 · outbound

This paper cites Blind image deblurring using dark channel prior.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Blind image deblurring using dark channel prior

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.639815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.050766Z digest=sha256:d0db963fde95f2142d9a2d3f7aee40d9e22f78083b9442a639c1902426f45171

Observation 51673877-2b95-49d7-acd8-b6f2b88490ba · outbound

This paper cites Deep genera- tive filter for motion deblurring.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Deep genera- tive filter for motion deblurring

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.623949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.055892Z digest=sha256:f35ce27eef96a02beba9439d413aecee5d39cd7499c6a40a08c7fc7071b13c29

Observation 29cc3576-6556-4da7-9897-4b57077b1a8a · outbound

This paper cites YOLOv3: An Incremental Improvement.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better YOLOv3: An Incremental Improvement

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T14:04:04.061072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:04:04.061072Z digest=sha256:721106a966743812d1be8452f8ebd7582e96500f851a11c0eab543deead5395a

Observation 47abb3d3-ecf0-4382-a62d-1058390fdb4d · outbound

This paper cites Deep non-blind deconvolution via generalized low-rank approxi- mation.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Deep non-blind deconvolution via generalized low-rank approxi- mation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.607751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.066180Z digest=sha256:423edf4d101e4b55dfc5cb80015eb9db3a67e79dddcc27160b82fe7d4ff3fc4d

Observation 6ad8033f-5f5b-4e93-afc9-b92a353d486b · outbound

This paper cites MobileNetV2: Inverted Residuals and Linear Bottlenecks.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better MobileNetV2: Inverted Residuals and Linear Bottlenecks

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T14:04:04.071253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:04:04.071253Z digest=sha256:b418286d29da7c5c84e981c47c6ece840fa36da70cb41006101d656b8e33e802

Observation e5b0e902-734e-4ce4-87bb-608341c77716 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T14:04:04.076702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:04:04.076702Z digest=sha256:85ec5e3f378f35a57684e6a35a7ac8649fde5fa8b465d1b202f634aff2310ec9

Observation 3efacaad-3fd4-453b-aa80-ac68614bae16 · outbound

This paper cites Deep video deblurring for hand-held cameras.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Deep video deblurring for hand-held cameras

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.590758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.081528Z digest=sha256:7792c0923cce78b64d16109233c2abb07d55fdccdc2ef1ecfc23b0abeb4781bd

Observation 536b30da-483a-451f-b14c-ae346cdf6bd0 · outbound

This paper cites Learn- ing a Convolutional Neural Network for Non-uniform Mo- tion Blur Removal.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Learn- ing a Convolutional Neural Network for Non-uniform Mo- tion Blur Removal

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.574619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.086343Z digest=sha256:4940bd568d2d777ba3a70b1b4a2b9facfd6829dd7c1e4f8512159f8fdeb3a0af

Observation 8cc46c2e-dc1b-4c43-a88c-bdeed995f4b4 · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Inception-v4, inception-resnet and the impact of residual connections on learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T14:04:04.091351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:04:04.091351Z digest=sha256:4f5425c0ada790b9baf743f528df994bdffa80ac2dd18fd794189c7be22998f0

Observation 31f14553-35e3-419c-9972-76ad83a2984e · outbound

This paper cites Scale-recurrent network for deep image deblurring.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Scale-recurrent network for deep image deblurring

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.548012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.096134Z digest=sha256:7a16c5651a15702060a7777d14bec0f9758e4731e803bb0248d4be24bfaa1417

Observation b1c7a39c-73be-4f38-83d8-5ceb766f6c79 · outbound

This paper cites Synthetic shutter speed imaging.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Synthetic shutter speed imaging

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.532370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.101063Z digest=sha256:cf933a4894aa87c159ecc7ed50d1827497c507422e7f45babd534a876c1f4aa3

Observation 256db9a2-abf5-4462-b495-66f192caed8b · outbound

This paper cites Energynet: Energy- efficient dynamic inference.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Energynet: Energy- efficient dynamic inference

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.516437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.106041Z digest=sha256:d909c1a2dbb0255a36accf9e3a740935621258118b6011f7cff9ab6860deae66

Observation 2d5046c5-e62e-4e7b-ba21-3d9bdc2bf79f · outbound

This paper cites D3: Deep dual- domain based fast restoration of jpeg-compressed images.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better D3: Deep dual- domain based fast restoration of jpeg-compressed images

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.500091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.110934Z digest=sha256:9296a1fa4bc7f01199268fefdf00374d019b3845019df0c8360232dac2f92b33

Observation 149a0ee6-c798-4c79-8704-b8cdab796913 · outbound

This paper cites Non-uniform deblurring for shaken images.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Non-uniform deblurring for shaken images

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.483037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.115904Z digest=sha256:3bf2371bb0b4e11f0d69716ae33b77e1ca91ca239ca016848fd07f6a6127d453

Observation 283beb3c-5f5c-4a78-a73e-a3793206a5b0 · outbound

This paper cites Deep k-means: Re- training and parameter sharing with harder cluster assign- ments for compressing deep convolutions.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Deep k-means: Re- training and parameter sharing with harder cluster assign- ments for compressing deep convolutions

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.465034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.121139Z digest=sha256:8ef74e0f97e606125813bf4ba5be749e1b472c302f4e81d154c013c400835cb4

Observation 71d38d23-c569-4a1c-8ff8-48485cd22e96 · outbound

This paper cites Unnatural L0 Sparse Representation for Natural Image Deblurring.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Unnatural L0 Sparse Representation for Natural Image Deblurring

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.448652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.125752Z digest=sha256:216537590fc434913c34b50862d4fecdbc3fda8379aeb9cfd102a2b6adf40b93

Observation ee3bbbf4-591f-4c60-8dce-a88e4c3a27a9 · outbound

This paper cites Motion blur kernel estimation via deep learning.IEEE Transactions on Image Processing, 27(1):194–205, 2018.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Motion blur kernel estimation via deep learning.IEEE Transactions on Image Processing, 27(1):194–205, 2018

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.431949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.130811Z digest=sha256:23bf165884665c1384e868c92c917228442191df82dd2263c9572242c95eee71

Observation e4246944-9ca3-4fa7-8716-e6516c5b3333 · outbound

This paper cites Semantic Image Inpainting with Deep Generative Models.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Semantic Image Inpainting with Deep Generative Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-14T14:04:04.135966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:04:04.135966Z digest=sha256:431da944ea14cde5aa2cebf58f34926ca02622dbe36bd124af31f4c6e486bff5

Observation e742ad70-279c-43ed-bd99-8fc139c67485 · outbound

This paper cites Craft- ing a toolchain for image restoration by deep reinforce- ment learning.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Craft- ing a toolchain for image restoration by deep reinforce- ment learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.415035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.141173Z digest=sha256:276500fbe0ca67a577682fa2fe51866ac4282c843e23f2bdcfc334b88d5b5534

Observation 1fe009f5-55c0-4be7-92c8-d2eb2c94b028 · outbound

This paper cites Gated fusion network for joint image deblurring and super-resolution.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Gated fusion network for joint image deblurring and super-resolution

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:04:04.397703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:04:04.146042Z digest=sha256:f40a1da7d7d668dc287a6122422e17d5f60f7ae0cbec937756c44cd5237c1c59

Observation 6bea6643-f6f8-4a49-889e-004f59c0f6d1 · outbound

This paper cites Least Squares Generative Adversarial Networks.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better Least Squares Generative Adversarial Networks

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-14T14:04:04.021053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:04:04.021053Z digest=sha256:1bfdde8fbb7238fbad973c004422b0558ce516921b21589c189a9a0be8c762bc

Pith citing papers

No inbound Pith citation observations are available.