Paper Citation Record · LEDGER

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.08837.

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

pith.paper-citation-record.v1
1908.08837 v1

Coverage vector

measured 45 of 45 reference resolution

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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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

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c698cd1-a3b8-47c2-8053-f32cb4478c0d · outbound

This paper cites Example-based super- resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Example-based super- resolution,

Reference 1

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Observation 54d62f7a-6e8f-4eae-8c0f-fc6c8f12a531 · outbound

This paper cites Image super-resolution using deep convolutional networks,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Image super-resolution using deep convolutional networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.890331Z

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Observation 76963f05-b711-4219-b286-66aef7d0d9b8 · outbound

This paper cites Fast learning-based single image super- resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Fast learning-based single image super- resolution,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.873508Z

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Observation 598f34ee-cc44-4af8-9e29-bef74e11c74f · outbound

This paper cites Structure-preserving image super-resolution via contextualized multi-task learning,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Structure-preserving image super-resolution via contextualized multi-task learning,

Reference 4

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Observation f5788f96-8019-41cc-8d70-c4c075e7fa25 · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Accurate image super-resolution using very deep convolutional networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.843893Z

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Observation ff1a13d5-f852-469a-b96a-7ca4cf02144c · outbound

This paper cites Deeply-recursive convolutional network for image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Deeply-recursive convolutional network for image super-resolution,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.829359Z

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Observation 4a4ff5f7-a681-4422-8fed-40faca8a7912 · outbound

This paper cites Enhanced deep residual networks for single image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Enhanced deep residual networks for single image super-resolution,

Reference 7

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Observation eb9a0722-e5d1-424b-baa4-f865e4525e9a · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Photo-realistic single image super-resolution using a generative adversarial network,

Reference 8

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Observation 19da3760-7696-40e3-adad-0b7be7a2368a · outbound

This paper cites Deep laplacian pyramid networks for fast and accurate super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Deep laplacian pyramid networks for fast and accurate super-resolution,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.781196Z

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Observation 4c1548b0-97f6-479b-9b90-adbb53bab5c2 · outbound

This paper cites Single image super-resolution from transformed self-exemplars,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Single image super-resolution from transformed self-exemplars,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.764619Z

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Observation e650398b-f37a-43f3-8cdb-4be15ca8e74b · outbound

This paper cites Accelerating the super-resolution convolutional neural network,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Accelerating the super-resolution convolutional neural network,

Reference 11

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Observation e724bbc1-9fbd-4a32-b550-6ca52ec014a3 · outbound

This paper cites Real-time single image and video super- resolution using an efﬁcient sub-pixel convolutional neural network,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Real-time single image and video super- resolution using an efﬁcient sub-pixel convolutional neural network,

Reference 12

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Observation b6270a08-d4cb-4c72-8a62-431db5729600 · outbound

This paper cites Lanczos ﬁltering in one and two dimensions,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Lanczos ﬁltering in one and two dimensions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.716524Z

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Observation 8eb8438b-4f93-4172-bf09-51520ddf76fa · outbound

This paper cites Soft edge smoothness prior for alpha channel super resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Soft edge smoothness prior for alpha channel super resolution,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.700964Z

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Observation 7e5143aa-e6fb-4b23-ac43-9e7319d80703 · outbound

This paper cites Image upsampling via imposed edge statistics,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Image upsampling via imposed edge statistics,

Reference 15

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Observation e3910094-f328-46c2-bf4d-4b3d348516f1 · outbound

This paper cites Nonparametric blind super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Nonparametric blind super-resolution,

Reference 16

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Observation 556d2a5e-1982-41bc-a280-9c6566430566 · outbound

This paper cites Accurate blur models vs. image priors in single image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Accurate blur models vs. image priors in single image super-resolution,

Reference 17

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Observation 05718d0c-3154-4988-8c0a-059d1f050f26 · outbound

This paper cites Image super-resolution via sparse representation,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Image super-resolution via sparse representation,

Reference 18

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Observation d588a906-6374-49aa-89db-5bd8a37b0118 · outbound

This paper cites A+: Adjusted anchored neighborhood regression for fast super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors A+: Adjusted anchored neighborhood regression for fast super-resolution,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.625828Z

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Observation 98ede175-b2d6-4551-b5b5-a280126ec1f8 · outbound

This paper cites Fast direct super-resolution by simple functions,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Fast direct super-resolution by simple functions,

Reference 20

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Observation 23f3d6ec-b5c0-4e98-9305-9ca10a0fd9e3 · outbound

This paper cites Fast and accurate image up- scaling with super-resolution forests,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Fast and accurate image up- scaling with super-resolution forests,

Reference 21

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Observation 00418d81-8c7e-4b78-9ca5-c96634f8f0d2 · outbound

This paper cites Image and video upscaling from local self- examples,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Image and video upscaling from local self- examples,

Reference 22

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Observation 39e720cc-7a98-4ceb-8222-55aeb88a44c8 · outbound

This paper cites Super-resolution using sub-band self- similarity,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Super-resolution using sub-band self- similarity,

Reference 23

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Observation 33eef9de-1422-40ca-b9f9-bce4e38ebadb · outbound

This paper cites Deep network cas- cade for image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Deep network cas- cade for image super-resolution,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.549218Z

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Observation 85e3ad98-3e1e-463e-bc33-ae3e57dcb057 · outbound

This paper cites Retrieval compensated group structured sparsity for image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Retrieval compensated group structured sparsity for image super-resolution,

Reference 25

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Observation 9ee0c9c3-356e-4e36-963e-4ad2e1487eb8 · outbound

This paper cites Efﬁcient image super-resolution integration,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Efﬁcient image super-resolution integration,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.518018Z

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Observation 3a92e4b9-32b6-4498-b66d-345044dda193 · outbound

This paper cites Ccr: Clustering and collaborative representation for fast single image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Ccr: Clustering and collaborative representation for fast single image super-resolution,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.501717Z

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Observation bf79f843-052a-4382-809e-997aff2b42f8 · outbound

This paper cites Image super-resolution via deep recursive residual network,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Image super-resolution via deep recursive residual network,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.486641Z

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Observation 5173cd08-65c1-4192-93a3-e1c9f153c68a · outbound

This paper cites Memnet: A persistent memory net- work for image restoration,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Memnet: A persistent memory net- work for image restoration,

Reference 29

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Observation aaddc126-40d8-4cb9-86b7-d57b33037549 · outbound

This paper cites Deep edge guided recurrent residual learning for image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Deep edge guided recurrent residual learning for image super-resolution,

Reference 30

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This paper cites Deep residual learning for image recognition,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Deep residual learning for image recognition,

Reference 31

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Observation 79834253-9e34-412a-8b6c-12e1d32a6235 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 32

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

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

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This paper cites Caffe: Convolutional architecture for fast feature embedding,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Caffe: Convolutional architecture for fast feature embedding,

Reference 34

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Observation 7fc2240e-353a-479e-a91f-694b92d8e49c · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 35

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Observation b32032d4-764c-4abc-8390-cd228bf93937 · outbound

This paper cites Bicubic spline interpolation,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Bicubic spline interpolation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.390364Z

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Observation ec77573b-8869-42a7-a284-69837ce26b83 · outbound

This paper cites Jointly optimized regressors for image super-resolution,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Jointly optimized regressors for image super-resolution,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.374302Z

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Observation 9ace5708-a1c3-4222-9f34-a68c2c53698f · outbound

This paper cites Low- complexity single-image super-resolution based on nonnegative neighbor embedding,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Low- complexity single-image super-resolution based on nonnegative neighbor embedding,

Reference 38

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This paper cites On single image scale-up using sparse-representations,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors On single image scale-up using sparse-representations,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.345930Z

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Observation 8e52dc6a-6b65-4b87-9e61-729e9dbab83e · outbound

This paper cites Contour detection and hierarchical image segmentation,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Contour detection and hierarchical image segmentation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.330700Z

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Observation 2b6f1e4f-98df-4025-825e-1fedee323ef9 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Imagenet: A large-scale hierarchical image database,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.314983Z

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Observation 456767ca-aab9-49e5-b310-b8c596d77fef · outbound

This paper cites Delving deep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Delving deep into rectiﬁers: Surpassing human-level performance on imagenet classiﬁcation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.298754Z

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Observation 6048a79c-f0f4-4539-a659-a5d35dd3e158 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Image quality assessment: from error visibility to structural similarity,

Reference 43

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Observation 0c6a4f23-1f54-4737-a174-79116fc33a61 · outbound

This paper cites An information ﬁdelity criterion for image quality assessment using natural scene statistics,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors An information ﬁdelity criterion for image quality assessment using natural scene statistics,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.272408Z

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Observation ac1d1b2a-c2e4-42c8-af10-b4436f6bea1f · outbound

This paper cites Single-image super-resolution: A benchmark,.

DRFN: Deep Recurrent Fusion Network for Single-Image Super-Resolution with Large Factors Single-image super-resolution: A benchmark,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:34:10.256713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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