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Paper Citation Record · LEDGER

PixelSR: Efficient Screen Content Super-Resolution via Pixel Classification

As of 7 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 2026-08-06T06:34:29.942622+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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source=pdf_text observed=2026-08-04T01:26:34.904341Z digest=sha256:59ae202c927c95ae0c3e2231133ad05ca2f4396608279b589dc240311d5c26f4

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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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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source=pdf_text observed=2026-08-04T01:26:35.106527Z digest=sha256:60779b56f27a41e0ced655ba95cdf84c9cf5107342f328d6acf2e43b92951476

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=sha256:3ece2f5409f8ecf500be9b284b9efd27e41219b397a86e00c448dba36f859936

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=sha256:837577d0172bf068e57c92307def9ee948e52a27d110697ee22dc6a435a1b6c6

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=sha256:09b661ad615a40c849063e3b7930e40237db3c0852e39417e83d4f54acc85edf

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=sha256:37992bf9f6ac0b3bc451252fd5726a74a41704459afd807b10c63e6cf2c2b3fe

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:a9e07fbd157117282a3e9fe75081529ebc141b2dbaf3d53281e1a696fbeb894f

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:cd27bc3f305c7c538edf5675b6b021b8d92167f36245f6f0352226b3f818f903

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=sha256:4b8e17bdf7c47f19c174843f9399a357513041cb852aa5b107de20b09e8de04d

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=sha256:3c0157b51521ea00b521a481869bebbb03f1850792deee71a77c9ab65724c890

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=sha256:5f869ce493464b5489a6f0adafdf392d9d42932a69ba28e9404d1b201f42b0ab

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=sha256:23982fd3c1e1a738cbb24a0a2a9bdf70604b9fca5c66b6404f7e995d12989f83

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=sha256:8929c4183096fa353225b35507a28c5d12af449d2b32300d27c37401618957e7

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:d1bc4d2a372410e857a414c92ca849784a74278e924a6ac2a90963e32c78426d

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=sha256:504714922880f1a071ada55ed7bd5f043a7aeeebaa1b74ad2deb6134ed783afd

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=sha256:4b3ba984f10dc0fc9aa03105d41d6d835d9e2180a678ab3b7e5a78b09873099a

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=sha256:265598173c534493872812ad678d2ace5d35fe7d45301220172844672def6730

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=sha256:9e398ca0211e707e0197dc897754c1f4fe7608db25a3fe87da1ebeb0c39df136

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=sha256:70d76093cccf3aa93e060d6026ef4d12d9e778f56d88d331de58e7a0b96fe4d1

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=sha256:6a347cdb29cdc9bc3c5c6b8e963cb057386d2603fa907fe60577dfcfd652304d

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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source=pdf_text observed=2026-08-04T01:26:36.067071Z digest=sha256:c5225c8f22111c2071ad67062fe2c0f6f249f2461e153c771b7e5c9998db70d9

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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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=sha256:882f52c03cb5788ff9a22e7588324f67c9e8fc7501bbc440288438faaebc498a

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:d1bceacad145f3f19485ed83083cb94803a2cb81bfddeeed6af8c9a697a5c764

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:b161e9b05f011c93963e68e20a8e0b67a7042845606b05ca789b12d96f8108b5

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=sha256:39ee8c625f5dc00119b096ecc8981218f933587a8b7a369984df4838db684802

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=sha256:9f5e1bccfa59f1a10a3679a359fdf51007e5c0e792ca1a6f5ae670aa9f443674

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:bc9850d0a809eb51afc299f3f78c6e5054027d47044d2aabfae10f54534dd30e

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:f573849f0790d222a13997ac5b772f1733c0a13e28fb287fa4e3a7772e46aa6f

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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source=pdf_text observed=2026-08-04T01:26:36.612907Z digest=sha256:79f00f41952c2d579c1f2d88a5f56ca0bf430f8f1fcc85fe66570845ba8304db

Pith citing papers

No inbound Pith citation observations are available.