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Paper Citation Record · LEDGER

A Tree-guided CNN for image super-resolution

As of 7 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2506.02585.

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

pith.paper-citation-record.v1
2506.02585 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

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measured 73 of 73 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

73 of 73 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9db2558-957d-4dd3-bac8-11bfbba535a4 · outbound

This paper cites Deep learning for single image super-resolution: A brief review,.

A Tree-guided CNN for image super-resolution Deep learning for single image super-resolution: A brief review,

Reference 1

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Observation f058cf2e-2ba9-4421-8333-6cc0e78b5fef · outbound

This paper cites Nearest Neighbor Value Interpolation.

A Tree-guided CNN for image super-resolution Nearest Neighbor Value Interpolation

Reference 2

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Observation 2cf5ef19-4fe9-4a0e-8d6a-7aab12f22e1a · outbound

This paper cites New edge-directed interpolation,.

A Tree-guided CNN for image super-resolution New edge-directed interpolation,

Reference 3

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Observation a4c70cc6-d0e1-40a3-9509-9026e291aa62 · outbound

This paper cites Cubic convolution interpolation for digital image processing,.

A Tree-guided CNN for image super-resolution Cubic convolution interpolation for digital image processing,

Reference 4

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Observation 2b71f6c4-07cc-4c58-9702-1df2f88c067f · outbound

This paper cites Super-resolution image reconstruction: a technical overview,.

A Tree-guided CNN for image super-resolution Super-resolution image reconstruction: a technical overview,

Reference 5

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Observation 8f88e92a-cf74-47b5-8c1b-9bddcc2a6f9a · outbound

This paper cites Minimax concave penalty regression for superresolution image reconstruction,.

A Tree-guided CNN for image super-resolution Minimax concave penalty regression for superresolution image reconstruction,

Reference 6

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Observation de023609-06b2-4cc4-81f4-73341b8e1367 · outbound

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

A Tree-guided CNN for image super-resolution Image super-resolution via sparse representation,

Reference 7

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Observation ed44ee9e-99e5-487f-96e9-c98a47674b87 · outbound

This paper cites Image super-resolution as sparse representation of raw image patches,.

A Tree-guided CNN for image super-resolution Image super-resolution as sparse representation of raw image patches,

Reference 8

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Source-reported events for the cited work

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Observation 2d2640d3-c1c8-4abb-b513-8b80cdfe35d8 · outbound

This paper cites A non-local approach for image super-resolution using intermodality priors,.

A Tree-guided CNN for image super-resolution A non-local approach for image super-resolution using intermodality priors,

Reference 9

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Observation 3048ec99-fd61-4035-bf22-7286df95430d · outbound

This paper cites Learning a deep convolutional network for image super-resolution,.

A Tree-guided CNN for image super-resolution Learning a deep convolutional network for image super-resolution,

Reference 10

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Observation 0a51b970-ca58-4ba0-9f3d-75300ac2c2d3 · outbound

This paper cites Coarse-to- fine cnn for image super-resolution,.

A Tree-guided CNN for image super-resolution Coarse-to- fine cnn for image super-resolution,

Reference 11

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Observation 4e4e92e9-8e00-4c65-a2d1-fbebe1f64f51 · outbound

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

A Tree-guided CNN for image super-resolution Image super-resolution using deep convolutional networks,

Reference 12

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Observation b5aa3752-66c9-492a-99df-4f9a52b5301d · outbound

This paper cites Runet: A robust unet architecture for image super-resolution,.

A Tree-guided CNN for image super-resolution Runet: A robust unet architecture for image super-resolution,

Reference 13

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Observation f5419237-a86c-4970-8889-e2a9c50f144b · outbound

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

A Tree-guided CNN for image super-resolution Accurate image super-resolution using very deep convolutional networks,

Reference 14

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Observation cd6dd837-8bcf-4360-b801-1f72dd869aba · outbound

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

A Tree-guided CNN for image super-resolution Deeply-recursive convolutional net- work for image super-resolution,

Reference 15

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Observation 457ef080-7626-4387-ad82-43f5f4984a51 · outbound

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

A Tree-guided CNN for image super-resolution Accelerating the super-resolution convolutional neural network,

Reference 16

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Observation 794baf2e-2db5-4fa0-926c-deb719678af1 · outbound

This paper cites Asymmetric cnn for image superresolution,.

A Tree-guided CNN for image super-resolution Asymmetric cnn for image superresolution,

Reference 17

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Source-reported events for the cited work

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Observation eeac2432-4cd6-4156-9391-077c6e9d3a2d · outbound

This paper cites Hybrid attention feature refinement network for lightweight image super-resolution in metaverse immersive display,.

A Tree-guided CNN for image super-resolution Hybrid attention feature refinement network for lightweight image super-resolution in metaverse immersive display,

Reference 18

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Source-reported events for the cited work

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Observation f9160052-52b4-461f-a0c4-e9b854649c6c · outbound

This paper cites Compressed multi- scale feature fusion network for single image super-resolution,.

A Tree-guided CNN for image super-resolution Compressed multi- scale feature fusion network for single image super-resolution,

Reference 19

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Observation 435d6f26-bd29-47ae-bede-94d22f3931f3 · outbound

This paper cites Memnet: A persistent memory network for image restoration,.

A Tree-guided CNN for image super-resolution Memnet: A persistent memory network for image restoration,

Reference 20

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Observation 7afa5c46-3918-4989-a5dc-eddac99ecb57 · outbound

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

A Tree-guided CNN for image super-resolution Image super-resolution via deep recursive residual network,

Reference 21

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Observation 4ad0dc49-f685-4110-8e8c-f3c8e3a353cb · outbound

This paper cites Deep learning for image super- resolution: A survey,.

A Tree-guided CNN for image super-resolution Deep learning for image super- resolution: A survey,

Reference 22

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Observation 833e6428-fb34-4f8a-a8ab-84a01261af53 · outbound

This paper cites Image super-resolution using dense skip connections,.

A Tree-guided CNN for image super-resolution Image super-resolution using dense skip connections,

Reference 23

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Observation 60f9c7ce-6e2a-46ea-88e2-5cc2ee5b99f4 · outbound

This paper cites Lightweight image super- resolution with information multi-distillation network,.

A Tree-guided CNN for image super-resolution Lightweight image super- resolution with information multi-distillation network,

Reference 24

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Observation 1180e194-d686-4e27-adfc-53b1c99f3d41 · outbound

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

A Tree-guided CNN for image super-resolution Photo-realistic single image super-resolution using a generative adversarial network,

Reference 25

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Observation ac4dc7ce-9246-4047-985f-5df696b4ba56 · outbound

This paper cites Ctcnet: A cnn- transformer cooperation network for face image super-resolution,.

A Tree-guided CNN for image super-resolution Ctcnet: A cnn- transformer cooperation network for face image super-resolution,

Reference 26

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Observation 679610eb-4294-4b43-abe2-60b4784e16ee · outbound

This paper cites Super-fan: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans,.

A Tree-guided CNN for image super-resolution Super-fan: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans,

Reference 27

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Observation d610268e-230e-4c77-ad6f-08745080868b · outbound

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

A Tree-guided CNN for image super-resolution Deep laplacian pyramid networks for fast and accurate super-resolution,

Reference 28

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Observation 0bf9b14f-d85f-4fb0-8efe-1d9a4acb2d6a · outbound

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

A Tree-guided CNN for image super-resolution Perceptual losses for real-time style transfer and super-resolution,

Reference 29

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Observation fda559f8-2444-4e7d-b222-e5efb86b14c5 · outbound

This paper cites A stochastic approximation method,.

A Tree-guided CNN for image super-resolution A stochastic approximation method,

Reference 30

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Observation 896a1428-b5fb-4677-ab1b-ec2177e21246 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Tree-guided CNN for image super-resolution Adam: A Method for Stochastic Optimization

Reference 31

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Observation cdffc9e0-6d02-4ead-8ce2-69df3c4f08a5 · outbound

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

A Tree-guided CNN for image super-resolution Enhanced deep residual networks for single image super-resolution,

Reference 32

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Observation 5f8ede0f-e492-4960-bc00-b589a5c620e3 · outbound

This paper cites Decoupled Weight Decay Regularization.

A Tree-guided CNN for image super-resolution Decoupled Weight Decay Regularization

Reference 33

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Observation c3d99054-0f8a-47f9-940a-5da24c1ffbd5 · outbound

This paper cites Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models,.

A Tree-guided CNN for image super-resolution Adan: Adaptive nesterov momentum algorithm for faster optimizing deep models,

Reference 34

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Observation 92f44db3-8833-4160-9f7b-a112a13b91b9 · outbound

This paper cites Image super-resolution with an enhanced group convolutional neural network,.

A Tree-guided CNN for image super-resolution Image super-resolution with an enhanced group convolutional neural network,

Reference 35

Resolution
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Source-reported events for the cited work

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Observation 151f5371-3736-4e6e-a240-ab0aeee486d1 · outbound

This paper cites Sharpened cosine distance as an alternative for convolutions,.

A Tree-guided CNN for image super-resolution Sharpened cosine distance as an alternative for convolutions,

Reference 36

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Source-reported events for the cited work

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Observation 594c56e0-aadf-4bcf-8136-cb0526952d2c · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study,.

A Tree-guided CNN for image super-resolution Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:23.571013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.055992Z digest=sha256:1a9dc6bd2798cb73b38116246ec3cadce6b5b3b1d910ac88f337cf9858ae8c5a

Observation d6def933-dc4a-40d0-af27-a39c1809e726 · outbound

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

A Tree-guided CNN for image super-resolution Low- complexity single-image super-resolution based on nonnegative neighbor embedding

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:23.406340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.153099Z digest=sha256:e91d42928b00a013056cfcd5746d853ba6f110bb808af952f32a48ed3d517d30

Observation f402d23b-f07a-4bb5-a71a-5600075aaacf · outbound

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

A Tree-guided CNN for image super-resolution On single image scale-up using sparse-representations,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:23.202868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.220705Z digest=sha256:2b297bd136112888bd631575f57e69864cb64bbb205a9ac63455bca9fa28f764

Observation 0e3d2f09-413d-4d7c-9c64-7477c0df43fa · outbound

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

A Tree-guided CNN for image super-resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:22.977367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.356921Z digest=sha256:ababd43a1851842fd52555d2ec080babb8fb867fde569a9a2aa6f748d674532f

Observation 3896e382-da30-46d2-984b-e97e8dfd191f · outbound

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

A Tree-guided CNN for image super-resolution Single image super-resolution from transformed self-exemplars,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:22.734922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.461841Z digest=sha256:2af6cd7f4769c0a5435eed7b4bbd57d555f1eb966acc7137c9ed204498e3d90f

Observation 7ec6df98-bddf-46fb-ba3b-301c6777374b · outbound

This paper cites Multi-scale attention network for single image super-resolution,.

A Tree-guided CNN for image super-resolution Multi-scale attention network for single image super-resolution,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:22.447413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.509301Z digest=sha256:210864776eb4d2e6237b1985ebcf6948751ac6e14f16395991cd2f76b647aa1c

Observation 22b695c8-667b-4cc7-a870-ed6b3b040f6c · outbound

This paper cites Residual dense net- work for image super-resolution,.

A Tree-guided CNN for image super-resolution Residual dense net- work for image super-resolution,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:15.613256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:15.613256Z digest=sha256:df2d8c1a645f67849fa2b225ca328165bc768729e8a47aa4c561812354dc4b0e

Observation 94ceb0a5-31b0-4549-a96b-9342dc959f77 · outbound

This paper cites Separable and reversible data hiding in encrypted images using parametric binary tree labeling,.

A Tree-guided CNN for image super-resolution Separable and reversible data hiding in encrypted images using parametric binary tree labeling,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:22.255641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.714833Z digest=sha256:2e453be397b0ca34f17c35f1160008a98fc3c611d222048ef95b9ad3b43c35b7

Observation 3ea6f4a2-d93b-4830-9060-28373e343d6b · outbound

This paper cites A heterogeneous group cnn for image super-resolution,.

A Tree-guided CNN for image super-resolution A heterogeneous group cnn for image super-resolution,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:22.171360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:15.819083Z digest=sha256:82a7b22ad8047aecba37ffe1de686d81883550565b9f8c09ae7e04df6fcd2bdf

Observation 65bc5a47-d9f2-4295-b9fd-0e806ebaad3b · outbound

This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network,.

A Tree-guided CNN for image super-resolution Fast, accurate, and lightweight super-resolution with cascading residual network,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:15.922259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:15.922259Z digest=sha256:cebeaae13975286b0caa8840684a2358f4b474ac7825f0169e44e61b43b66685

Observation 735ca547-4ca4-4a26-b0f4-5d4ba54bfc12 · outbound

This paper cites Fast and accurate single image super- resolution via information distillation network,.

A Tree-guided CNN for image super-resolution Fast and accurate single image super- resolution via information distillation network,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:22.003660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.061669Z digest=sha256:6fbe01611c576716b32a07b873de41efb8d2a55369909fd96b7aef7fc0d8dc18

Observation 1e3de02d-7e28-48a1-b577-862f0efca9f5 · outbound

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

A Tree-guided CNN for image super-resolution A+: Adjusted anchored neighborhood regression for fast super-resolution,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.902479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.178970Z digest=sha256:acfba6ff8dca2341e78564d136ad4b71d5389bc6d56c6f881e5a671e783ec0af

Observation c8bd78be-f737-4d15-803b-464220b0e957 · outbound

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

A Tree-guided CNN for image super-resolution Jointly optimized regressors for image super-resolution,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.744851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.249002Z digest=sha256:e71fe87a0032425e8287a71d8fa8e0327127be3b81f32499ecc677fc4ae6f0d0

Observation 51a30947-8ffa-43ff-b330-6740868e752d · outbound

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

A Tree-guided CNN for image super-resolution Fast and accurate image upscaling with super-resolution forests,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.610005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.363396Z digest=sha256:76ecc8ac895dd6ccd5e05cd845c234f76144ede66460bc4cd3eeb8e207750ef2

Observation 10eefbb0-8bcd-4da5-806b-1c428da66c9b · outbound

This paper cites Deep networks for image super-resolution with sparse prior,.

A Tree-guided CNN for image super-resolution Deep networks for image super-resolution with sparse prior,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.511575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.472480Z digest=sha256:6fda00c99d8e81b9b7f69c448bb81b14034879df3ef81c9e2145805f596e13c6

Observation daa7da4f-9de5-40be-8fdb-5014af4904fc · outbound

This paper cites Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,.

A Tree-guided CNN for image super-resolution Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connec- tions,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.419732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.574594Z digest=sha256:ef41638e8dda4ff701b16d2d76a69a8989ff00f717e4f6d011f7e5c9d4100acf

Observation 79facb97-b892-487f-bf9f-5a197c955502 · outbound

This paper cites Single image super-resolution with non-local means and steering kernel regression,.

A Tree-guided CNN for image super-resolution Single image super-resolution with non-local means and steering kernel regression,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.304870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.648722Z digest=sha256:81a664958edd13b447eab90408048c4f9b3e6f88b585a19d7eb2d2831c752077

Observation 88f0a55c-83d8-4125-83e9-38de60bc58e2 · outbound

This paper cites Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration,.

A Tree-guided CNN for image super-resolution Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.194915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.729530Z digest=sha256:4991e45a7a0eee8e42593f3bc9c58a9190703a7437deec56aaa871481c63b2d2

Observation ea7eb2b6-df1a-4ca2-ae91-d874ed42e2b0 · outbound

This paper cites Fast single image super-resolution via dilated residual networks,.

A Tree-guided CNN for image super-resolution Fast single image super-resolution via dilated residual networks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:21.104920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.874902Z digest=sha256:851a453972a4c2f658e4ceb751366de4184288838644906bbf86fa5994bbcd55

Observation 38285499-feb4-47a9-8dbf-c0c4fd6e6422 · outbound

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

A Tree-guided CNN for image super-resolution Structure-preserving image super-resolution via contextualized multitask learning,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.997391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:16.961861Z digest=sha256:b4e64c198fc4a9f9904f68a2cd73d292e582356dfffab7bf57b641c10cb94a11

Observation 96aa7995-24c1-4e63-bfc3-639d594e94e3 · outbound

This paper cites Image super resolution based on fusing multiple convolution neural networks,.

A Tree-guided CNN for image super-resolution Image super resolution based on fusing multiple convolution neural networks,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.904509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.030222Z digest=sha256:27c39ab45890924fb6700c3e57b1e98a067cec021ef1cdc468916b8ff5919a0a

Observation 35d482dc-c35f-4cc8-858d-1a61e15b226d · outbound

This paper cites Beyond deep residual learning for image restoration: Persistent homology-guided manifold simplification,.

A Tree-guided CNN for image super-resolution Beyond deep residual learning for image restoration: Persistent homology-guided manifold simplification,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.814201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.102117Z digest=sha256:6107d60794dd66cf0cca035883ff2bc85eb201ec635c2adbbd99e21e37cd9d75

Observation 6668373a-9153-4a43-855a-ec2ab378a258 · outbound

This paper cites Self-learning super- resolution using convolutional principal component analysis and random matching,.

A Tree-guided CNN for image super-resolution Self-learning super- resolution using convolutional principal component analysis and random matching,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.698823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.224095Z digest=sha256:23a94daa981a038c64bee7bd1b0a5b11d55e50cab16608ff17db34551cac5c21

Observation ab820245-f3aa-414a-b792-3a9cf0a4bb92 · outbound

This paper cites New architecture of deep recursive convolution networks for super-resolution,.

A Tree-guided CNN for image super-resolution New architecture of deep recursive convolution networks for super-resolution,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.593296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.309495Z digest=sha256:f1175355fc87edc35c5d44d0496da8ebee58d7aec394298e05772cc612ec6e20

Observation 055458e0-6bd7-4b3a-be9b-42b7ed0f258d · outbound

This paper cites Lightweight image super-resolution with enhanced cnn,.

A Tree-guided CNN for image super-resolution Lightweight image super-resolution with enhanced cnn,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.465880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.404148Z digest=sha256:06dfcb4bbe0675381374bcdd75d141aa60d65a9f182260774759b062e6a3a3f8

Observation 95baccec-0874-49cd-adca-aac86842191b · outbound

This paper cites A dual cnn for image super-resolution,.

A Tree-guided CNN for image super-resolution A dual cnn for image super-resolution,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.313143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.483880Z digest=sha256:04b59102ab86bf2c61a49b1c0cd9bc2747579c48d27f0eb61a629157a35ba864

Observation 439dad49-02cf-4fdd-893e-da4c097118fb · outbound

This paper cites Unfolding the alternating optimization for blind super resolution,.

A Tree-guided CNN for image super-resolution Unfolding the alternating optimization for blind super resolution,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.189102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.539407Z digest=sha256:ed8298c46df0aceaac43ee6c0395f9fc0e05b3a0150031e9a9052990bc59d333

Observation 15c92df5-ba1e-4ec5-8845-56fef5c8a77c · outbound

This paper cites Deep constrained least squares for blind image super-resolution,.

A Tree-guided CNN for image super-resolution Deep constrained least squares for blind image super-resolution,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:20.030673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.677905Z digest=sha256:06c6d0062d60b95e172fd5bcb158eb6e1e8e5b643354ce1318a8c7841c9d9b90

Observation f4a44df9-d7c1-43aa-a02a-ed50775be542 · outbound

This paper cites Structure-aware deep networks and pixel- level generative adversarial training for single image super-resolution,.

A Tree-guided CNN for image super-resolution Structure-aware deep networks and pixel- level generative adversarial training for single image super-resolution,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:19.789773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.760006Z digest=sha256:1a657aee61d18e7f9c0b089304391f6be06608a2bc5155209f2c253273506701

Observation ff0b5d48-f9fe-4675-9278-2d88a5db29fe · outbound

This paper cites Image super-resolution via lightweight attention-directed feature aggregation network,.

A Tree-guided CNN for image super-resolution Image super-resolution via lightweight attention-directed feature aggregation network,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:19.553965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.834498Z digest=sha256:38b8add53855b63edade591224e7954ca15bcf911750b6331888b4699dc8a4d5

Observation b2dc6634-80a6-4e05-ab5c-e14235adbad4 · outbound

This paper cites Acdmsr: Accelerated conditional diffusion models for single image super-resolution,.

A Tree-guided CNN for image super-resolution Acdmsr: Accelerated conditional diffusion models for single image super-resolution,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:19.387559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:17.870561Z digest=sha256:cada3a62519f4dba27dfe5f544db2aa242b366abe21f280bf5da9103d4946d59

Observation f64784d7-e605-477b-a836-1ba0c5691303 · outbound

This paper cites Cross-resolution feature attention network for image super-resolution,.

A Tree-guided CNN for image super-resolution Cross-resolution feature attention network for image super-resolution,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:19.171375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:18.022785Z digest=sha256:0f566a11e89616a233a2a6efc80f390ad9defb41dfb3cc39e7249224e8ca81b1

Observation 0d795fef-3053-4b59-838f-6c2b6f4335fb · outbound

This paper cites SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution.

A Tree-guided CNN for image super-resolution SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:18.115055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:18.115055Z digest=sha256:b24bcb54d7f2bb0a90e8046653fef489df77aa9b83917d88c5faa488c126fa45

Observation 69f0ad5d-9645-4572-872a-44e171d2c053 · outbound

This paper cites Image quality metrics: Psnr vs. ssim,.

A Tree-guided CNN for image super-resolution Image quality metrics: Psnr vs. ssim,

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:18.209853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:18.209853Z digest=sha256:c7166de5d34660a6f0564edbae4770eafe66149c73438fdf28d3c0615ae32d89

Observation d84fe333-2663-4fbf-a8ad-1e8b8be35bea · outbound

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

A Tree-guided CNN for image super-resolution Image quality assessment: from error visibility to structural similarity,

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T11:24:18.298123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:24:18.298123Z digest=sha256:df17b40e4b063f6084b0f95633d2b57df72babc997a698c7c7e0bc1d47f8bafc

Observation 21e267bf-0e8d-4558-93f4-182cd81dc5f8 · outbound

This paper cites Deep Learning Face Attributes in the Wild,.

A Tree-guided CNN for image super-resolution Deep Learning Face Attributes in the Wild,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:18.998614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:18.403799Z digest=sha256:98735046f98dd8647003726b8886bbf3886ae61f8e78f0a244613c50e36a48f0

Observation bf009b5c-0cc0-4ec3-954e-bd563b42a768 · outbound

This paper cites The PASCAL Visual Object Classes Challenge: A Retrospective,.

A Tree-guided CNN for image super-resolution The PASCAL Visual Object Classes Challenge: A Retrospective,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:24:18.715559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:24:18.492893Z digest=sha256:a1a746cc643a549988cb345e0898635f8bc726573f63434bb081671d40e29e1e

Pith citing papers

No inbound Pith citation observations are available.