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Paper Citation Record · LEDGER

Rotation Equivariant Arbitrary-scale Image Super-Resolution

As of 20 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 1 inbound Pith citation observation for arXiv:2508.05160.

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

pith.paper-citation-record.v1
2508.05160 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:40:48.080299Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:27:09.131710Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T08:50:59.331055Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact3
  • verified fuzzy57
  • unresolved21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1cf67be-ac36-4ac4-a39c-8e4b715b53fd · outbound

This paper cites Super- resolution image reconstruction: a technical overview.IEEE signal processing magazine, 20(3):21–36, 2003.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Super- resolution image reconstruction: a technical overview.IEEE signal processing magazine, 20(3):21–36, 2003

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.448448Z digest=sha256:4b2db1d4a391370fd80dbcc90b5456f53ac5387b75c244204d187603db3d4d0e

Observation 78068834-aa00-48f0-b5f8-26ada818cc78 · outbound

This paper cites Super-resolution reconstruction of image sequences.IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(9):817–834, 1999.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Super-resolution reconstruction of image sequences.IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(9):817–834, 1999

Reference 2

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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.

source=pdf_text observed=2026-08-05T23:40:47.495164Z digest=sha256:b5fd44029b072c21c3e35155e8a8fe514ac230b2374a3e4e2dc86b9aef112e86

Observation f633c237-999d-404d-ab09-ab118e83f953 · outbound

This paper cites Image super-resolution using deep convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 38(2):295– 307, 2015.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Image super-resolution using deep convolutional networks.IEEE transactions on pattern analysis and machine intelligence, 38(2):295– 307, 2015

Reference 3

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raw_fallback, observed 2026-08-05T23:40:52.893132Z

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

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Observation 54e1b1a3-6def-4526-aa70-90aa36d483c7 · outbound

This paper cites Deep learning for single image super-resolution: A brief review.IEEE Transactions on Multimedia, 21(12):3106–3121, 2019.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Deep learning for single image super-resolution: A brief review.IEEE Transactions on Multimedia, 21(12):3106–3121, 2019

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T23:40:52.755632Z

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.

source=pdf_text observed=2026-08-05T23:40:47.678191Z digest=sha256:1ee1e71b8b09b40c3d7312b2f83c43817afbddd2b59718a739b5d1b13d4ee324

Observation d7bf387f-2649-491e-9979-8b3184df11a8 · outbound

This paper cites Deep learning for image super-resolution: A survey.IEEE transactions on pattern analysis and machine intelligence, 43(10):3365–3387, 2020.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Deep learning for image super-resolution: A survey.IEEE transactions on pattern analysis and machine intelligence, 43(10):3365–3387, 2020

Reference 5

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no resolver link, observed 2026-08-05T23:40:47.747897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.747897Z digest=sha256:b99b65cf1333b0bac7bd39ea2024a60bf078c5c141f2ab1ba829d2e8e5eb1592

Observation c7dfed1f-138e-4b27-9315-4f3aa1ee789e · outbound

This paper cites Learning continuous image representation with local implicit image function.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Learning continuous image representation with local implicit image function

Reference 6

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raw_fallback, observed 2026-08-05T23:40:48.321058Z

Source-reported events for the cited work

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Observation 943b5d9f-f992-4101-a610-af32583b93e3 · outbound

This paper cites Local texture estimator for implicit representation function.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Local texture estimator for implicit representation function

Reference 7

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

source=pdf_text observed=2026-08-05T23:40:47.799143Z digest=sha256:410aa8a2da1f42493b22afb8e31494f7f5035f36fd514664a28b3e74ca92922e

Observation e58f2ba9-e28c-4855-b446-324a92bfe4d5 · outbound

This paper cites Ope-sr: Orthogonal position encoding for designing a parameter-free upsampling module in arbitrary-scale image super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Ope-sr: Orthogonal position encoding for designing a parameter-free upsampling module in arbitrary-scale image super-resolution

Reference 8

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

source=pdf_text observed=2026-08-05T23:40:47.803097Z digest=sha256:431d0a8255f34fb8dae6dda811f40fbae67eded5a4c1f5463a17d38ea48d6b85

Observation 7b3a2197-0fe4-4cc8-a1ff-e154965d6828 · outbound

This paper cites Ciaosr: Continuous implicit attention-in-attention net- work for arbitrary-scale image super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Ciaosr: Continuous implicit attention-in-attention net- work for arbitrary-scale image super-resolution

Reference 9

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source=pdf_text observed=2026-08-05T23:40:47.806927Z digest=sha256:d20126d52d40a9860d8726faff56a047d9d5f523607e375111414b5530da84a7

Observation 0e633ab5-4316-4556-a945-dc63c163afe4 · outbound

This paper cites UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

Reference 10

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Observation e78b930e-f969-44c7-86d1-73ca0f8fee08 · outbound

This paper cites Meta-sr: A magnification-arbitrary network for super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Meta-sr: A magnification-arbitrary network for super-resolution

Reference 11

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raw_fallback, observed 2026-08-05T23:40:52.165461Z

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.

source=pdf_text observed=2026-08-05T23:40:47.815100Z digest=sha256:4423bc94052e6c4482800fe7273798034d610e2a2b58fdad52bbc030ec696722

Observation b5036f9f-74d3-4ccb-8b63-5b5f640dfed9 · outbound

This paper cites Going deeper with convolutions.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Going deeper with convolutions

Reference 12

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source=pdf_text observed=2026-08-05T23:40:47.819114Z digest=sha256:b3b6d9f93bab797ad319905e26c8cbecb3d9b2ef89b7e5d47494b312e1489a5e

Observation 1f8083a8-818a-4c26-bb42-a0d358733f85 · outbound

This paper cites Swinir: Image restoration using swin transformer.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Swinir: Image restoration using swin transformer

Reference 13

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source=pdf_text observed=2026-08-05T23:40:47.822802Z digest=sha256:378e88db3cdab0a114f6df02f74e082bb7bbb6405f6864821dc2bcb631930f74

Observation e9985b5c-6a7a-44a7-b8e4-1a609f1a7ed4 · outbound

This paper cites Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution

Reference 14

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verified exact
local_arxiv, observed 2026-08-05T23:40:48.203803Z

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.

source=pdf_text observed=2026-08-05T23:40:47.826517Z digest=sha256:eeb412b9f1c971f0fa5b4567a0f0e0fec95431bff8c1946c0d65e941544ba162

Observation aaf3ed6c-ce80-4653-88ef-32af3afc38ce · outbound

This paper cites Group equivariant convolutional networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Group equivariant convolutional networks

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 3209f87d-f53c-4b47-b8ec-f924f1806219 · outbound

This paper cites General e (2)-equivariant steerable cnns.Advances in Neural Information Processing Systems, 32, 2019.

Rotation Equivariant Arbitrary-scale Image Super-Resolution General e (2)-equivariant steerable cnns.Advances in Neural Information Processing Systems, 32, 2019

Reference 16

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

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Observation f9970541-4003-4a74-8c21-58b77000d1eb · outbound

This paper cites Pdo-econvs: Partial differential operator based equivariant con- volutions.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Pdo-econvs: Partial differential operator based equivariant con- volutions

Reference 17

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raw_fallback, observed 2026-08-05T23:40:51.873877Z

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.

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Observation 211930e3-d280-4e1c-ba6d-9ed825bb1967 · outbound

This paper cites Rotation equiv- ariant proximal operator for deep unfolding methods in image restoration.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Rotation equiv- ariant proximal operator for deep unfolding methods in image restoration.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 18

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

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Observation 4ca754e5-7bd9-469d-b3ea-2f1ebb24fbf0 · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Enhanced deep residual networks for single image super-resolution

Reference 19

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raw_fallback, observed 2026-08-05T23:40:51.523229Z

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.

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Observation f22ebe31-d715-4eac-a0e4-33724c9ef098 · outbound

This paper cites Residual dense network for image super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Residual dense network for image super-resolution

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c0ee30a-4f1a-401c-91f6-c9d19191550d · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Image super-resolution using very deep residual channel attention networks

Reference 21

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raw_fallback, observed 2026-08-05T23:40:51.341753Z

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

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Observation bc22bdbe-fe29-46f0-8c8b-4577fc3a7af9 · outbound

This paper cites Group symmetry in pac learning.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Group symmetry in pac learning

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.856832Z digest=sha256:8b015e8d657d461730bf219927afbd3de87a57db48539c399b509c66b4c01041

Observation 69593248-3245-4122-b4af-f3de77b010ae · outbound

This paper cites Approximation- generalization trade-offs under (approximate) group equivariance.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Approximation- generalization trade-offs under (approximate) group equivariance

Reference 23

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raw_fallback, observed 2026-08-05T23:40:51.120716Z

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

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Observation 307d94fc-e2e7-4f8f-91a2-5a3cfc4199e9 · outbound

This paper cites Generalization error of deep neural networks: Role of classification margin and data structure.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Generalization error of deep neural networks: Role of classification margin and data structure

Reference 24

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raw_fallback, observed 2026-08-05T23:40:50.871883Z

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

source=pdf_text observed=2026-08-05T23:40:47.864482Z digest=sha256:71f1b363de2c559facb023eccabebb17aeb35f6a92fddf1485176fa6a285f43f

Observation 7bb68fcb-d828-40ef-bd7e-b5286b9e0ff7 · outbound

This paper cites Fourier series expansion based filter parametrization for equivariant convolu- tions.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Fourier series expansion based filter parametrization for equivariant convolu- tions.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Reference 25

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raw_fallback, observed 2026-08-05T23:40:50.711901Z

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

source=pdf_text observed=2026-08-05T23:40:47.868368Z digest=sha256:a5500373f7d7e46ad45e27934a9ba776e8dfebb3eadb4021db8e8c3237ee7233

Observation 4123f79d-30c0-4d22-8be4-2124ac345aac · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Learning a deep convolutional network for image super- resolution

Reference 26

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raw_fallback, observed 2026-08-05T23:40:50.538158Z

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.

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Observation 74bba56c-728b-4d48-ae85-ad712181aa1d · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Accurate image super-resolution using very deep convolutional networks

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.876081Z digest=sha256:d86824e6e9a33b8fbd6014662aed2de2cf24b5fbe4c1d6c282c383c3c6a2d130

Observation e109d5b9-f9c9-4583-a007-1efc62987a81 · outbound

This paper cites zero-shot.

Rotation Equivariant Arbitrary-scale Image Super-Resolution zero-shot

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.880119Z digest=sha256:713989caf8bc5e85c5a148e74f85c4f2dce2a353b96b2034a264187f75073484

Observation 1a9cc201-9afb-476a-8d98-1ce0573b81d3 · outbound

This paper cites Accelerat- ing the super-resolution convolutional neural network.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Accelerat- ing the super-resolution convolutional neural network

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T23:40:50.350179Z

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.

source=pdf_text observed=2026-08-05T23:40:47.883855Z digest=sha256:9ce834dd42d7468942e6b7b9365c92059040133f482efabdde3b804feb27a156

Observation 40f29f42-5951-4070-a2db-50d4eb62e71d · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Deep laplacian pyramid networks for fast and accurate super-resolution

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:50.089361Z

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.

source=pdf_text observed=2026-08-05T23:40:47.887476Z digest=sha256:fb91888675c2c7782dfc198bb8f670fbea8fc65a6e86cf385b0bf201382495af

Observation dd6d4a3a-1d09-4dcd-a000-78c81838f57f · outbound

This paper cites Fast and accurate image super-resolution with deep lapla- cian pyramid networks.IEEE transactions on pattern analysis and machine intelligence, 41(11):2599–2613, 2018.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Fast and accurate image super-resolution with deep lapla- cian pyramid networks.IEEE transactions on pattern analysis and machine intelligence, 41(11):2599–2613, 2018

Reference 31

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raw_fallback, observed 2026-08-05T23:40:49.939050Z

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.

source=pdf_text observed=2026-08-05T23:40:47.891351Z digest=sha256:0b6e9bbea7ebabf4c711f3494d0a4c4a50c9a89dc0bb28a24e45b58663871a81

Observation 0c9a5c0d-fccc-42f1-b247-062a3f49aa1e · outbound

This paper cites A fully progressive approach to single-image super- resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution A fully progressive approach to single-image super- resolution

Reference 32

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raw_fallback, observed 2026-08-05T23:40:49.751346Z

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.

source=pdf_text observed=2026-08-05T23:40:47.895116Z digest=sha256:d45c58b69a77a5ab04ec52198ff4f525c04145635af637d890be8b9a2364bc87

Observation c3ea157d-3830-44de-a1eb-f584200dac56 · outbound

This paper cites Deep back-projection networks for super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Deep back-projection networks for super-resolution

Reference 33

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raw_fallback, observed 2026-08-05T23:40:49.563890Z

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.

source=pdf_text observed=2026-08-05T23:40:47.898893Z digest=sha256:ed2e0d262ab69277e9b05cff7bd6942c203480bc34f00412025822935b0768d2

Observation d1a1f507-b6c1-44f8-9908-a083ae06338d · outbound

This paper cites Feedback network for image super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Feedback network for image super-resolution

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-05T23:40:49.381028Z

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.

source=pdf_text observed=2026-08-05T23:40:47.902368Z digest=sha256:e950efcf4d7708a8041e19af24261010a60b889b6897d5c22b4ae954220957fa

Observation 95d2f797-311a-4725-bc19-3a5060e794e3 · outbound

This paper cites Kxnet: A model-driven deep neural network for blind super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Kxnet: A model-driven deep neural network for blind super-resolution

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:49.193390Z

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.

source=pdf_text observed=2026-08-05T23:40:47.906302Z digest=sha256:75399937a599e8a6e2279c13f907ae0f8e23a5e8f1a57eca40cc285767698578

Observation 3dfad246-6240-4de0-a147-8a2a7564d321 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Image super-resolution using very deep residual channel attention networks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.981460Z

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.

source=pdf_text observed=2026-08-05T23:40:47.910230Z digest=sha256:3de4525610f5cd01d587b8abe56e361f320f1bca4c604bcdf65d55aaea9f4353

Observation 3afc4d45-14c2-42fb-ab8b-961c0e169e37 · outbound

This paper cites Pre-trained image processing transformer.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Pre-trained image processing transformer

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.895142Z

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.

source=pdf_text observed=2026-08-05T23:40:47.913809Z digest=sha256:81a7bed3f0fa3b50f1b89a671beee296cc5a8914d16f45572091fe900cabf2c1

Observation c297730e-f9c4-428c-a341-1a03df5fc948 · outbound

This paper cites Arbitrary-scale super- resolution via deep learning: A comprehensive survey.Information Fusion, 102:102015, 2024.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Arbitrary-scale super- resolution via deep learning: A comprehensive survey.Information Fusion, 102:102015, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.869606Z

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.

source=pdf_text observed=2026-08-05T23:40:47.917497Z digest=sha256:966f11482c55861d4b9c0390e2fc89f9a8702a36a3a7f87bfe35c52e873cb765

Observation fc8cb958-6a59-472f-b806-f8d3b285c40d · outbound

This paper cites Multi-scale image super- resolution via a single extendable deep network.IEEE Journal of Selected Topics in Signal Processing, 15(2):253–263, 2020.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Multi-scale image super- resolution via a single extendable deep network.IEEE Journal of Selected Topics in Signal Processing, 15(2):253–263, 2020

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.841610Z

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.

source=pdf_text observed=2026-08-05T23:40:47.921034Z digest=sha256:358be0392e443d0bed7881c7ef61153cfc400fc5d0dca7762053963fce13e1f8

Observation 5971dcb7-d064-4ba6-8764-ef7cee8add40 · outbound

This paper cites Learning a single network for scale- arbitrary super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Learning a single network for scale- arbitrary super-resolution

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.817250Z

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.

source=pdf_text observed=2026-08-05T23:40:47.924687Z digest=sha256:8de4397b881a5eedcca5431dbcf0c361e992fad818f89282f555cb5b4d088724

Observation cc7e5954-30fc-4a18-8395-6abf0ca0333a · outbound

This paper cites Srwarp: Generalized image super-resolution under arbitrary transformation.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Srwarp: Generalized image super-resolution under arbitrary transformation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.796275Z

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.

source=pdf_text observed=2026-08-05T23:40:47.928168Z digest=sha256:eb495b5b08f93c194d0ae976c7c45784eb0d1f392d4f5fe205daffa816f4b399

Observation 34315945-b879-432f-86b7-d94fcc33920f · outbound

This paper cites Cascaded local implicit transformer for arbitrary-scale super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Cascaded local implicit transformer for arbitrary-scale super-resolution

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.782620Z

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.

source=pdf_text observed=2026-08-05T23:40:47.931614Z digest=sha256:3ea5c8948bf4e964a713b0b0657dc58cb923036f5e71ac3f0ef1e83db82060ef

Observation 5a4d5a27-8a81-44ed-b174-710278c3cfec · outbound

This paper cites Local implicit normalizing flow for arbitrary- scale image super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Local implicit normalizing flow for arbitrary- scale image super-resolution

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.768610Z

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.

source=pdf_text observed=2026-08-05T23:40:47.935251Z digest=sha256:165eab1325d3436f27b0bdcc8225bd39044d8782e224f46bc96d3a2eac0d42c8

Observation f76a152c-f12d-4d60-bb4f-63aea997c166 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Implicit diffusion models for continuous super-resolution

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.754390Z

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.

source=pdf_text observed=2026-08-05T23:40:47.939087Z digest=sha256:6b89e224827f8fbf86ca3196c964b7971c1645b1aa96b2bd5b82b22f1dec666f

Observation c213075f-8245-4edb-bd21-3274a095334b · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:47.942764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.942764Z digest=sha256:56180ccf00def591bfe7308a324f143d788a95e20a52742e7fa6e709d666527a

Observation ef6977bc-ce73-4832-aaf2-de89b68416d7 · outbound

This paper cites Joint implicit image function for guided depth super-resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Joint implicit image function for guided depth super-resolution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.729391Z

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.

source=pdf_text observed=2026-08-05T23:40:47.946442Z digest=sha256:480667c0d5d946cecddd7c8bceb2b7558cba95fcbc827f603245e0ef80cde0e7

Observation ae78cd6e-91a1-4718-8a1b-0b71e9d9797e · outbound

This paper cites Learning continuous representation of audio for arbitrary scale su- per resolution.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Learning continuous representation of audio for arbitrary scale su- per resolution

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.713587Z

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.

source=pdf_text observed=2026-08-05T23:40:47.950012Z digest=sha256:84eedfa0bcddc778555ee255e6356a6566734a680b028c7399c55d7c76ce430c

Observation 93900272-0088-440f-9bbc-602762692da7 · outbound

This paper cites Intratomo: self-supervised learning-based tomography via sinogram synthesis and prediction.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Intratomo: self-supervised learning-based tomography via sinogram synthesis and prediction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.698649Z

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.

source=pdf_text observed=2026-08-05T23:40:47.953790Z digest=sha256:7fe01850947624c88d557dfa00f6a766df5e0e30079fd4025ede6d2d6066d719

Observation 450799e4-43a1-4d45-8ed1-9ad43247ecfc · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25:1097–1105, 2012.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25:1097–1105, 2012

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.683787Z

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.

source=pdf_text observed=2026-08-05T23:40:47.957459Z digest=sha256:bb5c07e60481079ea2473b8a88f32469044bf54e3b516749427d3072a1fdee3e

Observation 21299ce0-775e-4a22-9f92-fb8bf468292a · outbound

This paper cites Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Ti-pooling: transformation-invariant pooling for feature learning in convolutional neural networks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.669292Z

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.

source=pdf_text observed=2026-08-05T23:40:47.961101Z digest=sha256:b68e5efa06f4a82751909d4a897e23c3c5f749d45973066f842f6d5cc2d11429

Observation d6fa9ed1-2f59-48b9-8bb2-36ecb403b1a9 · outbound

This paper cites Polar Transformer Networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Polar Transformer Networks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:47.964818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.964818Z digest=sha256:b47cefe5c04d19c5a3c57b0f9adf9c146278c1ebebd56203e80eb76e9ae73339

Observation 65e3c71d-1f02-45b2-b1ac-c94caf63bf24 · outbound

This paper cites Learning Invariant Representations with Local Transformations.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Learning Invariant Representations with Local Transformations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:47.969107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.969107Z digest=sha256:1cc1c3b1301416af1ecf5a0f3434cce83675d08dfceda3810d99d7f906530a18

Observation 0ff42a00-3a2f-4835-aa31-60b1e572671f · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Delv- ing deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.653609Z

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.

source=pdf_text observed=2026-08-05T23:40:47.973192Z digest=sha256:9dd2666faac7821045c51b8fe649cfd07230659cd34a8c608593e9438c575bed

Observation ae6c287b-5ff3-4436-bb17-997e237895a7 · outbound

This paper cites Oriented response networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Oriented response networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.639258Z

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.

source=pdf_text observed=2026-08-05T23:40:47.976956Z digest=sha256:31b81ebe2c668677c6b306cf2e3dfcff810789ca46fac855870ab8ab92f74a94

Observation 25c9549f-0bb4-4395-a9d2-8a1723ce4fb4 · outbound

This paper cites Rotation equivariant vector field networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Rotation equivariant vector field networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.626135Z

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.

source=pdf_text observed=2026-08-05T23:40:47.980759Z digest=sha256:d5b24b281468be523797f05cd9cbb74f9e6494b080cad24b49c158b6707b1497

Observation e1d6867d-eb37-4b19-8d6c-81b2bf85acd1 · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Harmonic networks: Deep translation and rotation equivariance

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.612438Z

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.

source=pdf_text observed=2026-08-05T23:40:47.984428Z digest=sha256:5c6360db399a8253be9923218ea45a91138dbebd8baad4348567018f1e70e091

Observation 1275ff16-5efe-4fd6-a719-f08694c8bce6 · outbound

This paper cites Hexaconv.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Hexaconv

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.597914Z

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.

source=pdf_text observed=2026-08-05T23:40:47.988095Z digest=sha256:7b8ab7518d359c599d548aa3f5a85d2eeb5e32cba46364b54b5065f8c7825230

Observation c11e0abc-fba0-426c-98b2-8afd632e7298 · outbound

This paper cites Learning steerable filters for rotation equivariant cnns.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Learning steerable filters for rotation equivariant cnns

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:47.991908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.991908Z digest=sha256:e748be697c7ebebf80005929f4ba9f553463e581799d88dc08d4c81b6f5a5675

Observation 34ad4c77-b072-4a01-b959-2987a6fe7a0a · outbound

This paper cites Pdo-es2cnns: Partial differential operator based equivariant spherical cnns.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Pdo-es2cnns: Partial differential operator based equivariant spherical cnns

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:47.995460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.995460Z digest=sha256:886d6fe72e4ca5879feb6b75279281ef2d7678506450e56264a6b8edf52360fb

Observation 3022ea70-1cd6-47fd-8a77-ff34739713e5 · outbound

This paper cites Efficient equivariant network.Advances in Neural Information Processing Systems, 34:5290–5302, 2021.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Efficient equivariant network.Advances in Neural Information Processing Systems, 34:5290–5302, 2021

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:47.999351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:47.999351Z digest=sha256:aee58afc5d21a39962c8bb19d0cff2ac4075e12535e4abc111146fa42be27efa

Observation c9e3ba7f-5473-4f7e-a2c3-d4b428ce2502 · outbound

This paper cites Group equivari- IEEE TRANSACTIONS ON PATTERN ANAL YSIS AND MACHINE INTELLIGENCE, 2025 18 ant stand-alone self-attention for vision.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Group equivari- IEEE TRANSACTIONS ON PATTERN ANAL YSIS AND MACHINE INTELLIGENCE, 2025 18 ant stand-alone self-attention for vision

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.556093Z

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.

source=pdf_text observed=2026-08-05T23:40:48.003181Z digest=sha256:7893cf83d0f54ec7c8b9bb2d366f0641ca8184b45db84dd74eac004e3c9d92b5

Observation 385aec30-4c26-45c2-bc5e-1aa02a836251 · outbound

This paper cites InUncertainty in Artificial Intel- ligence, pages 2356–2366.

Rotation Equivariant Arbitrary-scale Image Super-Resolution InUncertainty in Artificial Intel- ligence, pages 2356–2366

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.541978Z

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.

source=pdf_text observed=2026-08-05T23:40:48.007081Z digest=sha256:43aa6d3d6210a0b9353f94b708168b200306c471007daf42fca7653b3c0dbcee

Observation 8b920a38-4322-40cf-b833-eb77de154117 · outbound

This paper cites Lietransformer: Equiv- ariant self-attention for lie groups.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Lietransformer: Equiv- ariant self-attention for lie groups

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.528935Z

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.

source=pdf_text observed=2026-08-05T23:40:48.011171Z digest=sha256:8fb0b4720837a469847b608746a9b3eca90ea8740483cec486895055159b3003

Observation 7836d213-3717-4422-8f3c-5461d3e626b1 · outbound

This paper cites Equiv- ariant neural networks for inverse problems.Inverse Problems, 37(8):085006, 2021.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Equiv- ariant neural networks for inverse problems.Inverse Problems, 37(8):085006, 2021

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.515061Z

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.

source=pdf_text observed=2026-08-05T23:40:48.015043Z digest=sha256:196b92997271d3f3d87d5aa0251fb65e60896ba5741980da47f6a7cd330b2fa0

Observation 4fada5e5-ac3c-42b5-b7f6-bf58b1740096 · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Equivariant plug-and-play image reconstruction

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.500512Z

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.

source=pdf_text observed=2026-08-05T23:40:48.018684Z digest=sha256:13c8d6784269055a24852dc63bada3b751458f35c9051edf567ad2d04522f074

Observation 40127c09-9f08-4d45-9182-912b9b16847e · outbound

This paper cites Equivariant multi-modality image fusion.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Equivariant multi-modality image fusion

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.487170Z

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.

source=pdf_text observed=2026-08-05T23:40:48.022206Z digest=sha256:f4525368a80610b5d7b01a361b23806ffcc9feb5e7cf15a169d6782f999c12cf

Observation 4200cd8b-b86b-4959-97da-c0d10d261c0e · outbound

This paper cites Equivariant imag- ing for self-supervised hyperspectral image inpainting.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Equivariant imag- ing for self-supervised hyperspectral image inpainting

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.473757Z

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.

source=pdf_text observed=2026-08-05T23:40:48.025973Z digest=sha256:7a44e9aab0ce9f3a972df97fab44b9c4e0ad6a0e58fa94aa32293bfec9d5bbcf

Observation 3ed07e6f-ecdf-499f-98d2-3402d149b79f · outbound

This paper cites Universal equivariant multilayer percep- trons.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Universal equivariant multilayer percep- trons

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:40:48.460770Z

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.

source=pdf_text observed=2026-08-05T23:40:48.029674Z digest=sha256:6955c4ddaa4b7188b7d231d7649d58ee7c13544647855444a8f1ea75fda19816

Observation 6ffd4c3f-3129-40ae-9a12-05b3037b41e9 · outbound

This paper cites Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:40:48.154209Z

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.

source=pdf_text observed=2026-08-05T23:40:48.033481Z digest=sha256:91283667e80f5e792dfcbb6cb4d54cd6da8b08feb4cc7599e621d71d10e57eb3

Observation dbb340bd-d3e0-458d-9589-df097be62574 · outbound

This paper cites Image interpolation techniques in digital im- age processing: an overview.International Journal of Engineering Research and Applications, 4(10):70–73, 2014.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Image interpolation techniques in digital im- age processing: an overview.International Journal of Engineering Research and Applications, 4(10):70–73, 2014

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Observation 5e1c3080-57a3-4a0f-866e-8af429186e5a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Rotation Equivariant Arbitrary-scale Image Super-Resolution An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 71

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Observation c4c8e637-62a6-45c8-8e2f-2505f7cfe90a · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 72

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Observation b67e942e-9de4-4422-a02f-f1afa4493a2a · outbound

This paper cites Single im- age super-resolution from transformed self-exemplars.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Single im- age super-resolution from transformed self-exemplars

Reference 73

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verified fuzzy
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Observation eca65523-bb19-4082-be4f-687d4a7f040e · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 74

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unresolved
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Observation a4218b7c-ff15-4825-8f8c-c9d8e96e3063 · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution On single image scale-up using sparse-representations

Reference 75

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

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Observation a8872ce0-5a71-493f-9fcc-c396169ff2eb · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Low-complexity single-image super- resolution based on nonnegative neighbor embedding

Reference 76

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

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Observation 7b13b575-0f27-41ba-82a7-9b45974b4663 · outbound

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

Rotation Equivariant Arbitrary-scale Image Super-Resolution Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 77

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unresolved
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Observation a1270a50-c010-47f3-9689-59f09f6021df · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Adam: A Method for Stochastic Optimization

Reference 78

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unresolved
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Observation 11f23687-0073-47cf-b692-23794617b55d · outbound

This paper cites Dslr-quality photos on mobile devices with deep convolutional networks.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Dslr-quality photos on mobile devices with deep convolutional networks

Reference 79

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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 2026-08-19T06:32:44.657259+00:00.

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Observation 67d72405-1a5c-402c-a012-edd3d3cdcf3a · outbound

This paper cites Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum.IEEE transactions on image processing, 19(9):2241–2253, 2010.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Generalized assorted pixel camera: postcapture control of resolution, dynamic range, and spectrum.IEEE transactions on image processing, 19(9):2241–2253, 2010

Reference 80

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verified fuzzy
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Observation 23ba4ddc-70e5-4ad1-bb15-17ca2a60d7e8 · outbound

This paper cites Thermal image super-resolution: a novel architecture and dataset.

Rotation Equivariant Arbitrary-scale Image Super-Resolution Thermal image super-resolution: a novel architecture and dataset

Reference 81

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verified fuzzy
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Pith citing papers

Observation 69d66c1b-20e2-4196-b1e9-daa70da72655 · inbound

Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors cites this paper.

Image-to-Image Translation Framework Embedded with Rotation Symmetry Priors Rotation Equivariant Arbitrary-scale Image Super-Resolution

Reference 18

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arxiv_id, observed 2026-05-11T08:50:59.332827Z

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