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Paper Citation Record · LEDGER

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification

As of 15 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2608.00646.

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

pith.paper-citation-record.v1
2608.00646 v1

Coverage vector

measured 69 of 69 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T01:26:36.612907Z

measured 69 of 69 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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69 of 69 outbound references displayed

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Outbound references

Observation 8360b146-3c3d-40b5-8d0a-3cc76cea725b · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Deep learning for single image super-resolution: A brief review,

Reference 1

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Observation d5b89a25-b595-47c3-84b9-4c2604c73724 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Single-image super-resolution: A benchmark,

Reference 2

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Observation 8d06f282-22c8-405a-bdcc-e6a873e13d3c · outbound

This paper cites Transformer for single image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Transformer for single image super-resolution,

Reference 3

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Observation 2293d7e5-d347-4a70-900f-2e9bb91062a1 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Single image super-resolution from transformed self-exemplars,

Reference 4

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Observation 86495730-678e-4ef1-9a24-830935e6992b · outbound

This paper cites Single-image super-resolution using sparse regression and natural image prior,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Single-image super-resolution using sparse regression and natural image prior,

Reference 6

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Observation 1ab16527-d837-4909-a191-5f895995bac2 · outbound

This paper cites Second-order attention network for single image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Second-order attention network for single image super-resolution,

Reference 7

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Observation ce57e329-38c1-4743-99c4-918bea4e257f · outbound

This paper cites Structure-preserving image super- resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Structure-preserving image super- resolution,

Reference 8

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Observation 75ecad4f-d067-44d8-94c0-d33340636142 · outbound

This paper cites Structure- preserving super resolution with gradient guidance,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Structure- preserving super resolution with gradient guidance,

Reference 9

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Observation 6dbf666d-62b2-4bf0-9d07-47af39efd138 · outbound

This paper cites Limits on super-resolution and how to break them,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Limits on super-resolution and how to break them,

Reference 10

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Observation 24d3000b-8d58-411b-ab9f-8c73c04529d0 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Deep networks for image super-resolution with sparse prior,

Reference 11

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Observation 65109780-bcdd-415a-b128-b2a4d7fbf41e · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Multi-scale residual network for image super-resolution,

Reference 12

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Observation dbd86597-1eae-441e-9872-823815005713 · outbound

This paper cites Deep burst super- resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Deep burst super- resolution,

Reference 13

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Observation 81a09b08-c518-4a54-ba85-7e190e038dcb · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Deep learning for image super- resolution: A survey,

Reference 14

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Observation 20027dde-3b0b-41d1-9206-919560870438 · outbound

This paper cites A survey on super-resolution imaging,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification A survey on super-resolution imaging,

Reference 15

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Observation 2c16e8f0-acde-4547-a41a-463efa7637cb · outbound

This paper cites Anycost network quantization for image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Anycost network quantization for image super-resolution,

Reference 16

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Observation 88cf2a0b-ffe2-4827-b420-5db170ce5bbe · outbound

This paper cites Limits on super-resolution and how to break them,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Limits on super-resolution and how to break them,

Reference 17

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Observation 9aa6adfa-3e61-4d04-8b59-658634b0d4f1 · outbound

This paper cites Super-resolution from a single image,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Super-resolution from a single image,

Reference 18

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Observation cc243b86-d9d7-4fad-b497-14a5d2397f17 · outbound

This paper cites Space-time super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Space-time super-resolution,

Reference 19

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Observation c5ce6943-f482-4cdf-b1a3-c51ee04d6353 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Learning a deep convolutional network for image super-resolution,

Reference 20

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Observation b79dc80a-3033-4aea-a0f4-31fb46f8cae1 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Image super-resolution using deep convolutional networks,

Reference 21

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Observation b05be11d-4669-4910-acbf-fe4d583b4577 · outbound

This paper cites Statistical performance analysis of super- resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Statistical performance analysis of super- resolution,

Reference 22

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Observation 830447c3-7b79-418d-9fc1-bbcb8ff5ec83 · outbound

This paper cites Bayesian image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Bayesian image super-resolution,

Reference 23

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Observation 612f0e13-6589-4524-9b04-7b74ee67edc2 · outbound

This paper cites Learning texture transformer network for image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Learning texture transformer network for image super-resolution,

Reference 24

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Observation 1d4aa200-0305-4229-9578-233ea6d1516c · outbound

This paper cites Masa-sr: Matching acceleration and spatial adaptation for reference-based image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Masa-sr: Matching acceleration and spatial adaptation for reference-based image super-resolution,

Reference 25

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Observation ff29806b-0d6d-416b-9d60-413caf6db0b7 · outbound

This paper cites B-spline texture coefficients estimator for screen content image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification B-spline texture coefficients estimator for screen content image super-resolution,

Reference 26

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Observation 12b6f7b4-5f1a-448c-acec-c75f4d4b5d8d · outbound

This paper cites Perceptual quality assessment of screen content images,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Perceptual quality assessment of screen content images,

Reference 27

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Observation 39cd28c5-b540-4118-b4c3-770dbe7bd08d · outbound

This paper cites Classsr: A general framework to accelerate super-resolution networks by data characteristic,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Classsr: A general framework to accelerate super-resolution networks by data characteristic,

Reference 28

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Observation 8006a2ee-abec-4ecb-8408-c40d7487c540 · outbound

This paper cites CAMixerSR: Only Details Need More "Attention".

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification CAMixerSR: Only Details Need More "Attention"

Reference 29

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Observation b2eb4443-030b-42e2-aab3-d9a8d430c0cf · outbound

This paper cites Accelerating Image Super-Resolution Networks with Pixel-Level Classification.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Accelerating Image Super-Resolution Networks with Pixel-Level Classification

Reference 30

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Observation a2dab9d2-6914-45d9-a2ae-5828ddfc83fa · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Ciaosr: Continuous implicit attention-in- attention network for arbitrary-scale image super-resolution,

Reference 31

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Observation 6b8968c7-7dd0-4123-af5c-78421d980423 · outbound

This paper cites Image super-resolution with cross-scale non-local attention and exhaustive self- exemplars mining,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Image super-resolution with cross-scale non-local attention and exhaustive self- exemplars mining,

Reference 32

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Observation 687d0f9d-3dd3-441a-b57c-d4f42daa17a2 · outbound

This paper cites Image processing gnn: Breaking rigidity in super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Image processing gnn: Breaking rigidity in super-resolution,

Reference 33

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Observation c4fde2e6-4d58-4f1a-8964-db85cd2ed989 · outbound

This paper cites Learning continuous image representa- tion with local implicit image function,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Learning continuous image representa- tion with local implicit image function,

Reference 34

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Observation 24156242-11f0-4503-afad-9eadaf1b127e · outbound

This paper cites Implicit transformer network for screen content image continuous super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Implicit transformer network for screen content image continuous super-resolution,

Reference 35

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Observation 877e41f5-7f83-404d-9340-7efa2e3c76d7 · outbound

This paper cites Local texture estimator for implicit representation function,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Local texture estimator for implicit representation function,

Reference 36

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Observation 8407033d-7391-40e3-8d8a-8634e85cf702 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Learning a single network for scale-arbitrary super-resolution,

Reference 38

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Observation c6504129-3553-4405-9ddb-4a393c58b064 · outbound

This paper cites Deep arbitrary- scale image super-resolution via scale-equivariance pursuit,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Deep arbitrary- scale image super-resolution via scale-equivariance pursuit,

Reference 39

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Observation d35ef47a-d8a8-42b5-8217-2f31eb40ab51 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

Reference 40

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Observation f6b691d8-d2c2-4d60-83d4-5c8eb087ded6 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Local implicit normalizing flow for arbitrary-scale image super- resolution,

Reference 41

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Observation fc4cf251-d918-4e41-9587-8a24fecf6ccc · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Cascaded local implicit transformer for arbitrary-scale super- resolution,

Reference 42

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source=pdf_text observed=2026-08-04T01:26:34.999823Z digest=sha256:cbd4c3e9b512662ac6c22d0583b1e87c695079c8e910d204ee0f1b23a10ccc49

Observation 2928f722-33f1-4bd7-aee2-d3ca0bc97828 · outbound

This paper cites Activating more information in arbitrary-scale image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Activating more information in arbitrary-scale image super-resolution,

Reference 43

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Observation d14d7cd2-5e05-4693-b9cc-480dcd99feac · outbound

This paper cites Recovering realistic details for magnification-arbitrary image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Recovering realistic details for magnification-arbitrary image super-resolution,

Reference 44

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source=pdf_text observed=2026-08-04T01:26:35.192498Z digest=sha256:c292829cca5436f7d90fa3c54a8ac71161316c2eea78a52295f64e30b0a72361

Observation 439fe108-641e-431f-be5c-54c864fe83ab · outbound

This paper cites Hiif: Hierarchical encoding based implicit image function for continuous super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Hiif: Hierarchical encoding based implicit image function for continuous super-resolution,

Reference 45

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source=pdf_text observed=2026-08-04T01:26:35.294205Z digest=sha256:0537d2995ac2486b5979b3ef1e9edfa12ef5b7bb7fa147bb84a08196123116bd

Observation b0f23734-0f85-4ebe-a7cf-721ed505b956 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Meta-sr: A magnification-arbitrary network for super-resolution,

Reference 46

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source=pdf_text observed=2026-08-04T01:26:35.400983Z digest=sha256:9db6c35463d1ef021029d8779169555fa06f6529441cfdb5c6562c8a90de8511

Observation 85fd0223-f100-4c90-9203-1b39e7812ba3 · outbound

This paper cites Learning based screen image compres- sion,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Learning based screen image compres- sion,

Reference 47

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source=pdf_text observed=2026-08-04T01:26:35.477134Z digest=sha256:139576dc06780bea3ac200fcc2e036e39b10499c853b7aded5e8609b31357d55

Observation 7099e18e-c2bb-4a65-9fce-396eeae23b40 · outbound

This paper cites Super resolution for compressed screen content video,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Super resolution for compressed screen content video,

Reference 48

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source=pdf_text observed=2026-08-04T01:26:35.551395Z digest=sha256:86e530391953e268dd8656982261c4dcce4b2ca9eb942c424d40379bef7fd680

Observation d81f23f2-7888-4eea-af3e-44e6e642c330 · outbound

This paper cites Itsrn++: Stronger and better implicit transformer network for continuous screen content image super- resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Itsrn++: Stronger and better implicit transformer network for continuous screen content image super- resolution,

Reference 49

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source=pdf_text observed=2026-08-04T01:26:35.590749Z digest=sha256:608c926af446e0b53354c5a38d162084c2bf294504e0fc637850a41211a63666

Observation 317ca10d-dc17-47dc-a19f-f9a46af44923 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,

Reference 50

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source=pdf_text observed=2026-08-04T01:26:35.624824Z digest=sha256:3235126a11c1759e046e316d23c68db17d2f207c600672ffb03fe179f60191e2

Observation 1c5618f5-878f-43cf-95e5-55aa8035333a · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Fast, accurate, and lightweight super-resolution with cascading residual network,

Reference 51

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source=pdf_text observed=2026-08-04T01:26:35.660677Z digest=sha256:9c066560bdd5cbde9af5e19aa8d4205caf0d7d91f451f7d6d4e8daf01b0852a1

Observation 53516652-37b6-406a-b39e-87cfd0e402c9 · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Lightweight image super- resolution with information multi-distillation network,

Reference 52

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source=pdf_text observed=2026-08-04T01:26:35.688372Z digest=sha256:17232c2c705037ce4bb0489728f7a4deca1f3c3482c18fe6592178a33fdf2640

Observation 2d21f9d3-c4d4-412d-a218-232a4ab3578a · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Enhanced deep residual networks for single image super-resolution,

Reference 53

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source=pdf_text observed=2026-08-04T01:26:35.728084Z digest=sha256:6153bb12fe32088e16376183c8dd3f3c1aa499d56bebbddfb48f2abc7aa5c251

Observation 87d56afc-171d-4122-b2bb-622f6c22d1c4 · outbound

This paper cites Lattice network for lightweight image restoration,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Lattice network for lightweight image restoration,

Reference 54

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source=pdf_text observed=2026-08-04T01:26:35.752331Z digest=sha256:156bdaa1d6e6efd9a51d874cfad29023b8a2f3e6949300428e440a8bd3758be5

Observation ece92924-5269-4890-be79-97743d2b785f · outbound

This paper cites Dlgsanet: lightweight dynamic local and global self-attention networks for image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Dlgsanet: lightweight dynamic local and global self-attention networks for image super-resolution,

Reference 55

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source=pdf_text observed=2026-08-04T01:26:35.783741Z digest=sha256:51a16318d3cbced4a5733f19fd872073936f30701e184b7897c31f35691ac19c

Observation 9bf2258c-b5c1-46eb-ab45-e52c77f1a3ed · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Accelerating the super-resolution convolutional neural network,

Reference 56

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source=pdf_text observed=2026-08-04T01:26:35.813857Z digest=sha256:6415f0ccb31c13f1278ef07b4145b214eb5df18b6c8f58beea7ea86070a81b5c

Observation ef4e8616-187a-4254-90f6-c4a1468421f2 · outbound

This paper cites Ntire 2023 challenge on efficient super- resolution: Methods and results,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Ntire 2023 challenge on efficient super- resolution: Methods and results,

Reference 57

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source=pdf_text observed=2026-08-04T01:26:35.845833Z digest=sha256:64074809c43ebbc5e9efc38490b6b261248b8817c2b687e4a99de244bc1d7033

Observation 8e1f3dd7-c915-43fb-af54-759843743943 · outbound

This paper cites Global aligned structured sparsity learning for efficient image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Global aligned structured sparsity learning for efficient image super-resolution,

Reference 58

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source=pdf_text observed=2026-08-04T01:26:35.893256Z digest=sha256:832f9df74c43afce39cd702e280bfa2e6e6fc8dc26ba13aaea3218fc0d93663b

Observation 682c9fb0-e92a-4b58-9d74-4f223ad38c02 · outbound

This paper cites Lmlt: Low-to-high multi-level vision transformer for lightweight image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Lmlt: Low-to-high multi-level vision transformer for lightweight image super-resolution,

Reference 59

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source=pdf_text observed=2026-08-04T01:26:35.941720Z digest=sha256:f25723f5d281dc25dd6fe9265b23146c1a506e5cd3bb059c26a32f850c60965a

Observation a0e080cc-2b42-4a02-93a3-94f69a76319a · outbound

This paper cites Practical single-image super-resolution using look- up table,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Practical single-image super-resolution using look- up table,

Reference 60

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source=pdf_text observed=2026-08-04T01:26:35.974412Z digest=sha256:464ce3eca59c19975bb73c9e5233d1ddb2d671f8cd8d551c1f548a126806d8f8

Observation 2b70c264-70e8-49e6-abe5-2edbf928b7de · outbound

This paper cites Mulut: Cooperating multiple look-up tables for efficient image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Mulut: Cooperating multiple look-up tables for efficient image super-resolution,

Reference 61

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source=pdf_text observed=2026-08-04T01:26:36.015433Z digest=sha256:9bbd5dc133d0b0dcfaa957be3be46fbdd2ff2dfb83e985d330a96db188ee1c8a

Observation f0188e46-ab44-41a7-8498-0803a9bd187a · outbound

This paper cites Learning series-parallel lookup tables for efficient image super-resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Learning series-parallel lookup tables for efficient image super-resolution,

Reference 62

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Observation a7be86f5-cce1-4e90-9299-ac77d9f11865 · outbound

This paper cites Reconstructed convolution module based look-up tables for efficient image super- resolution,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Reconstructed convolution module based look-up tables for efficient image super- resolution,

Reference 63

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source=pdf_text observed=2026-08-04T01:26:36.093994Z digest=sha256:64476a9d4910e24882b4cfaac1889c2e1b72c469e971f5326faf768d33deb62f

Observation c7d829e9-c3c1-417f-9ab8-ed558951e5e9 · outbound

This paper cites Arm: Any-time super-resolution method,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Arm: Any-time super-resolution method,

Reference 64

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source=pdf_text observed=2026-08-04T01:26:36.130345Z digest=sha256:c407c368333f3caf08272e54a7ca49e53d6ff760c800d594b263e61a800a10fb

Observation 02452707-d86b-42d3-b386-7679aa023f8d · outbound

This paper cites Cabm: Content- aware bit mapping for single image super-resolution network with large input,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Cabm: Content- aware bit mapping for single image super-resolution network with large input,

Reference 65

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source=pdf_text observed=2026-08-04T01:26:36.155116Z digest=sha256:6b3eef57604b89d4722d49c38f1039da6eb92f5aab1d9635732f66685e2687d1

Observation b13d4473-e56a-41d1-b6c0-12bc03efa9d0 · outbound

This paper cites Autolut: Lut-based image super-resolution with automatic sampling and adaptive residual learning,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Autolut: Lut-based image super-resolution with automatic sampling and adaptive residual learning,

Reference 66

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source=pdf_text observed=2026-08-04T01:26:36.193196Z digest=sha256:69aecc8c24bf95eeb5d7112dfe68d14d221581defe5cc07f667c9e34a2d1c442

Observation fed589f9-c62e-4759-a310-286b821217de · outbound

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

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Ntire 2017 challenge on single image super-resolution: Dataset and study,

Reference 67

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source=pdf_text observed=2026-08-04T01:26:36.298635Z digest=sha256:4b71a8b8eb484ab55892d1b7dee11990a241fbd4d0d84539c5d4237f516fb82f

Observation e36ff837-4460-4143-8018-3729bd77c8cf · outbound

This paper cites Esim: Edge similarity for screen content image quality assessment,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Esim: Edge similarity for screen content image quality assessment,

Reference 68

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source=pdf_text observed=2026-08-04T01:26:36.389266Z digest=sha256:481d0a96373781944355ba9daf667d5651226f289398d0c334a60a0f15323436

Observation 2a917e79-b28f-48ec-8e90-037820755f5e · outbound

This paper cites Swinir: Image restoration using swin transformer,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Swinir: Image restoration using swin transformer,

Reference 69

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source=pdf_text observed=2026-08-04T01:26:36.459160Z digest=sha256:edd48a0ee0f998ef2b55829df1cd4fa9be12bb6f16561250c98a17a35d2c78da

Observation b3180e18-ec0f-4967-bb9f-48027acc2475 · outbound

This paper cites Adam: A method for stochastic optimization,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Adam: A method for stochastic optimization,

Reference 70

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source=pdf_text observed=2026-08-04T01:26:36.532267Z digest=sha256:1cada3e213d86f693335fb374446ef19f1e1c3c407f711e1bd4a10e550f5ebdc

Observation 290b9f37-251a-44d8-9154-0e22bd95d023 · outbound

This paper cites Scene text recognition with permuted autoregressive sequence models,.

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification Scene text recognition with permuted autoregressive sequence models,

Reference 71

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Pith citing papers

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