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Paper Citation Record · LEDGER

A Survey of Deep Learning Video Super-Resolution

As of 8 August 2026, this Paper Citation Record lists 100 of 129 outbound references and 0 inbound Pith citation observations for arXiv:2506.03216.

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

pith.paper-citation-record.v1
2506.03216 v1

Coverage vector

measured 100 of 129 reference resolution

Typed states for the displayed outbound observations.

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measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 129 outbound references displayed

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  • verified fuzzy36
  • unresolved60
  • parse uncertain0
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External citation measurements

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Outbound references

Observation e38e5275-aef9-4c56-803e-e57e84a2850e · outbound

This paper cites Improving quality of experience by adaptive video streaming with super-resolution,.

A Survey of Deep Learning Video Super-Resolution Improving quality of experience by adaptive video streaming with super-resolution,

Reference 1

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Observation e056664d-1c0c-40a3-b5a4-5133a568e879 · outbound

This paper cites Mixed-dense connection networks for image and video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Mixed-dense connection networks for image and video super-resolution,

Reference 2

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Observation aa93e6c9-8fba-4662-9438-ec7eb0425f1d · outbound

This paper cites Attention-guided dual spatial-temporal non- local network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Attention-guided dual spatial-temporal non- local network for video super-resolution,

Reference 3

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Observation dadbbef2-bb6e-4c88-a2db-40db3fdfaa0c · outbound

This paper cites Dense- connected residual network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Dense- connected residual network for video super-resolution,

Reference 4

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Observation ca94f4d9-3824-4765-9978-dcfec7581278 · outbound

This paper cites Classification- based video super-resolution using artificial neural networks,.

A Survey of Deep Learning Video Super-Resolution Classification- based video super-resolution using artificial neural networks,

Reference 5

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Observation a3409a9f-dd65-4943-9c58-06d866344191 · outbound

This paper cites Dynavsr: Dynamic adaptive blind video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Dynavsr: Dynamic adaptive blind video super-resolution,

Reference 6

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Observation a8764d2c-2f2b-4c2b-8bbc-0f36ad8a528f · outbound

This paper cites Local object- based super-resolution mosaicing from low-resolution video,.

A Survey of Deep Learning Video Super-Resolution Local object- based super-resolution mosaicing from low-resolution video,

Reference 7

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Observation 503a82bd-4128-446f-9a64-ef287da90c4a · outbound

This paper cites Video super- resolution with recurrent structure-detail network,.

A Survey of Deep Learning Video Super-Resolution Video super- resolution with recurrent structure-detail network,

Reference 8

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Observation baca2be6-7059-4f21-835a-784b4b242f65 · outbound

This paper cites Video super-resolution with temporal group attention,.

A Survey of Deep Learning Video Super-Resolution Video super-resolution with temporal group attention,

Reference 9

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Observation e4c16623-8109-4198-9b92-e4f5cc9fb33e · outbound

This paper cites Efficient, low- cost, real-time video super-resolution network,.

A Survey of Deep Learning Video Super-Resolution Efficient, low- cost, real-time video super-resolution network,

Reference 10

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Observation 16284395-4588-416a-a5f3-1502476baef5 · outbound

This paper cites Edvr: Video restoration with enhanced deformable convolutional networks,.

A Survey of Deep Learning Video Super-Resolution Edvr: Video restoration with enhanced deformable convolutional networks,

Reference 11

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Observation db1f25f4-d96f-47dc-82bb-effa0b741c65 · outbound

This paper cites Video super-resolution with inverse recurrent net and hybrid local fusion,.

A Survey of Deep Learning Video Super-Resolution Video super-resolution with inverse recurrent net and hybrid local fusion,

Reference 12

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Observation 3d895ab7-00e6-4779-bddb-4e8e74628213 · outbound

This paper cites Basicvsr: The search for essential components in video super-resolution and beyond,.

A Survey of Deep Learning Video Super-Resolution Basicvsr: The search for essential components in video super-resolution and beyond,

Reference 13

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Observation 903655cf-aba7-45d2-a1e2-e553b5603b55 · outbound

This paper cites Polyphase back-projection filtering for resolution enhancement of image sequences,.

A Survey of Deep Learning Video Super-Resolution Polyphase back-projection filtering for resolution enhancement of image sequences,

Reference 14

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Observation 7ea58ff7-4de3-40f1-8b3f-ee130e1ce018 · outbound

This paper cites Statistical analysis of the lms algorithm applied to super-resolution image reconstruction,.

A Survey of Deep Learning Video Super-Resolution Statistical analysis of the lms algorithm applied to super-resolution image reconstruction,

Reference 15

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Observation 1ded8524-e007-4ebd-a805-11244c7b3eeb · outbound

This paper cites Recurrent back-projection network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Recurrent back-projection network for video super-resolution,

Reference 16

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Observation 953f5614-15e0-4a4a-a239-3eccc81dee43 · outbound

This paper cites High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring,.

A Survey of Deep Learning Video Super-Resolution High-resolution optical flow and frame-recurrent network for video super-resolution and deblurring,

Reference 17

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Observation 500d7bda-6d98-4be4-b8c2-833ab00a0cb4 · outbound

This paper cites Video super-resolution based on deep learning: a comprehensive survey,.

A Survey of Deep Learning Video Super-Resolution Video super-resolution based on deep learning: a comprehensive survey,

Reference 18

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Observation 38e0e3fa-12b5-4350-9953-7b16f40b767e · outbound

This paper cites Real-world single image super-resolution: A brief review,.

A Survey of Deep Learning Video Super-Resolution Real-world single image super-resolution: A brief review,

Reference 19

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Observation ee044aa4-334a-4e25-8d10-b928757640e8 · outbound

This paper cites Image super-resolution: A comprehensive review, recent trends, challenges and applications,.

A Survey of Deep Learning Video Super-Resolution Image super-resolution: A comprehensive review, recent trends, challenges and applications,

Reference 20

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Observation aa37720d-1d94-449e-b1d1-76ec78cd936b · outbound

This paper cites Texture synthesis by non-parametric sampling,.

A Survey of Deep Learning Video Super-Resolution Texture synthesis by non-parametric sampling,

Reference 21

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Observation d909ec88-d649-4bb9-8262-727683447ef3 · outbound

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

A Survey of Deep Learning Video Super-Resolution Example-based learning for single-image super-resolution,

Reference 22

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Observation 89f1b679-8b60-4caf-93e0-00a6858c0590 · outbound

This paper cites Image super-resolution using gradient profile prior,.

A Survey of Deep Learning Video Super-Resolution Image super-resolution using gradient profile prior,

Reference 23

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Observation 62f00f98-4121-460f-8499-82f629b907aa · outbound

This paper cites Super resolution using edge prior and single image detail synthesis,.

A Survey of Deep Learning Video Super-Resolution Super resolution using edge prior and single image detail synthesis,

Reference 24

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Observation 1660c59a-2867-4178-a0cd-60c4c3208400 · outbound

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

A Survey of Deep Learning Video Super-Resolution Deep learning for image super- resolution: A survey,

Reference 25

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Observation 75af7850-fdea-43e7-b132-f0e361b9e5cb · outbound

This paper cites A survey of deep learning approaches to image restoration,.

A Survey of Deep Learning Video Super-Resolution A survey of deep learning approaches to image restoration,

Reference 26

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Observation 693b7a8e-5f7c-44de-b7dd-be6f46113746 · outbound

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

A Survey of Deep Learning Video Super-Resolution Learning a deep convolu- tional network for image super-resolution,

Reference 27

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Observation 26e26966-7d7a-4cd0-a335-39eac743d9f2 · outbound

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

A Survey of Deep Learning Video Super-Resolution Transformer for single image super-resolution,

Reference 28

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Observation c9d99bba-d56c-4419-9a73-a0b99076064e · outbound

This paper cites Hierarchical dense recursive network for image super-resolution,.

A Survey of Deep Learning Video Super-Resolution Hierarchical dense recursive network for image super-resolution,

Reference 29

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Observation 1965e912-2954-4576-b82c-836e6edec986 · outbound

This paper cites Image super-resolution with non- local sparse attention,.

A Survey of Deep Learning Video Super-Resolution Image super-resolution with non- local sparse attention,

Reference 30

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Observation 1dcf0b03-58e2-412f-9e61-2f6564c35300 · outbound

This paper cites Efficient long-range attention network for image super-resolution,.

A Survey of Deep Learning Video Super-Resolution Efficient long-range attention network for image super-resolution,

Reference 31

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Observation 7d2f0f9f-98c5-4cf6-9dc9-848c484a8c0c · outbound

This paper cites A fast algorithm of video super-resolution using dimensionality reduction by dct and example selection,.

A Survey of Deep Learning Video Super-Resolution A fast algorithm of video super-resolution using dimensionality reduction by dct and example selection,

Reference 32

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Observation beaa0ac0-9d93-4e04-9709-e63d7ebae659 · outbound

This paper cites Video super-resolution with scene-specific priors.

A Survey of Deep Learning Video Super-Resolution Video super-resolution with scene-specific priors

Reference 33

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Observation 0ca263ba-0587-456d-80b1-cfe60ff38b6b · outbound

This paper cites Temporally coherent su- perresolution of textured video via dynamic texture synthesis,.

A Survey of Deep Learning Video Super-Resolution Temporally coherent su- perresolution of textured video via dynamic texture synthesis,

Reference 34

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Observation e156c867-a09c-4560-934a-741fdda87007 · outbound

This paper cites Super-resolution reconstruction of image sequences,.

A Survey of Deep Learning Video Super-Resolution Super-resolution reconstruction of image sequences,

Reference 35

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Observation 7a19a42d-fb6b-4ce8-9d5b-2a140e9ba1f8 · outbound

This paper cites Modified kalman filtering for image super-resolution: Experimental convergence results.

A Survey of Deep Learning Video Super-Resolution Modified kalman filtering for image super-resolution: Experimental convergence results

Reference 36

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Observation f3df85ab-72dc-4baa-bfc2-a5d7d8820dc9 · outbound

This paper cites Superresolution restoration of an image sequence: adaptive filtering approach,.

A Survey of Deep Learning Video Super-Resolution Superresolution restoration of an image sequence: adaptive filtering approach,

Reference 37

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Observation 4d7f87b0-18b9-43be-8691-fffa5fa51937 · outbound

This paper cites Video super-resolution via deep draft-ensemble learning,.

A Survey of Deep Learning Video Super-Resolution Video super-resolution via deep draft-ensemble learning,

Reference 38

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Observation 641947c2-b585-4d4e-a336-2e5ad536afcc · outbound

This paper cites Revisiting Temporal Modeling for Video Super-resolution.

A Survey of Deep Learning Video Super-Resolution Revisiting Temporal Modeling for Video Super-resolution

Reference 39

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Observation c90da993-d110-476f-9095-d81e8982d53d · outbound

This paper cites Online video super-resolution using information replenishing unidirectional recurrent model,.

A Survey of Deep Learning Video Super-Resolution Online video super-resolution using information replenishing unidirectional recurrent model,

Reference 40

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source=pdf_text observed=2026-08-07T11:25:15.362348Z digest=sha256:9c0d0e8c7d70a241448fb468b40111cca15c36dbccf13bb07acfee5bc8af123b

Observation 1e0c0de1-3dc7-493b-bf92-8b59d40fbc75 · outbound

This paper cites Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation,.

A Survey of Deep Learning Video Super-Resolution Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation,

Reference 41

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source=pdf_text observed=2026-08-07T11:25:15.367919Z digest=sha256:115c92308a72f632ac626ed196ccdf9c4ce06ca6ce12418c8a6fb77e2eddf29c

Observation 74688641-0bc2-4eda-8c86-b071de8723ac · outbound

This paper cites 3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks.

A Survey of Deep Learning Video Super-Resolution 3DSRnet: Video Super-resolution using 3D Convolutional Neural Networks

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:25:16.344350Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.373151Z digest=sha256:4eb91bee5d94cf74df3778ebb61307949d597e5c927c4d689b5720036d06627b

Observation e52d293c-793d-40e6-b2d7-248220abf283 · outbound

This paper cites Learning a deep dual attention network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Learning a deep dual attention network for video super-resolution,

Reference 43

Resolution
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no resolver link, observed 2026-08-07T11:25:15.379552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.379552Z digest=sha256:fdab76d03912c835d3046fd80d1e1de620aa270bb1e8d8ac1b8e44b737d6f5c4

Observation 5272b8ec-7dd2-41ff-8b2d-a8c47834b785 · outbound

This paper cites 360 panorama super-resolution using deep convolutional networks,.

A Survey of Deep Learning Video Super-Resolution 360 panorama super-resolution using deep convolutional networks,

Reference 44

Resolution
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no resolver link, observed 2026-08-07T11:25:15.385024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.385024Z digest=sha256:3ba2f951895d5552b8082c8b9ed0e92f5dd8da37833a033e72b37d85b604b97c

Observation 5f1e7b19-2190-45fc-86ff-8657c30b736e · outbound

This paper cites Omnidirectional video super-resolution using deep learning,.

A Survey of Deep Learning Video Super-Resolution Omnidirectional video super-resolution using deep learning,

Reference 45

Resolution
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no resolver link, observed 2026-08-07T11:25:15.390787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.390787Z digest=sha256:d13d855cdc80f49c4dcc4405314a09d61cd770c256483402f1d3aacb14c8116d

Observation dba2dae3-e1f7-4bc9-b7c4-dcb0f522c1d3 · outbound

This paper cites Streaming 360-degree videos using super-resolution,.

A Survey of Deep Learning Video Super-Resolution Streaming 360-degree videos using super-resolution,

Reference 46

Resolution
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no resolver link, observed 2026-08-07T11:25:15.396749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.396749Z digest=sha256:cb6eaa3d6745dc3308ed4055a4d03029be2e312dc057ea2af6faf3a3af046314

Observation f57c55dc-e71d-40f3-8057-fc8e0d33cf6f · outbound

This paper cites A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution.

A Survey of Deep Learning Video Super-Resolution A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:25:16.306934Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.402699Z digest=sha256:ee5e9c7a51a59659647ebbb5b1a744b356acb606b49f1b0ea46980540d6c1271

Observation 1c8d2b15-b66e-410e-b6b4-42eb8182c9d3 · outbound

This paper cites Revisiting optical flow estimation in 360 videos,.

A Survey of Deep Learning Video Super-Resolution Revisiting optical flow estimation in 360 videos,

Reference 48

Resolution
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no resolver link, observed 2026-08-07T11:25:15.409052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.409052Z digest=sha256:f21995b270df60f3d6d6fbdd55cfb7454cc4b2069a1340b91538ff1809a71a9e

Observation 0ea1b1e3-d15b-4db8-9895-833e5400a5b2 · outbound

This paper cites Simultaneous super- resolution and 3d video using graph-cuts,.

A Survey of Deep Learning Video Super-Resolution Simultaneous super- resolution and 3d video using graph-cuts,

Reference 49

Resolution
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no resolver link, observed 2026-08-07T11:25:15.414834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.414834Z digest=sha256:43b99a4b4e2657d92281303cf2d391ed7a97256477531778be27439353cd5772

Observation 56758f18-1970-461c-a8fb-cca7851858d7 · outbound

This paper cites 3d video super- resolution using fully convolutional neural networks,.

A Survey of Deep Learning Video Super-Resolution 3d video super- resolution using fully convolutional neural networks,

Reference 50

Resolution
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no resolver link, observed 2026-08-07T11:25:15.420829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.420829Z digest=sha256:cde49c5bf1b374f8a21b56a2594c45d1d361726ecd3105e286dee77a5b3ffe35

Observation 83487553-8790-412a-8cba-6fc9326490c6 · outbound

This paper cites High-quality 3d reconstruction with depth super-resolution and completion,.

A Survey of Deep Learning Video Super-Resolution High-quality 3d reconstruction with depth super-resolution and completion,

Reference 51

Resolution
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no resolver link, observed 2026-08-07T11:25:15.427414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.427414Z digest=sha256:0bc3fe34915828a3208e47b8cd4eb76f9b8208f9909cf16328a967cee834f41c

Observation b3001aa6-51dc-4f06-9133-cd4fdd34a244 · outbound

This paper cites View synthesis quality mapping for depth-based super resolution on mixed resolution 3d video,.

A Survey of Deep Learning Video Super-Resolution View synthesis quality mapping for depth-based super resolution on mixed resolution 3d video,

Reference 52

Resolution
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no resolver link, observed 2026-08-07T11:25:15.433516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.433516Z digest=sha256:c473a89f16ceb78c50ee24b3939c05b13414153d490ee111eb8875cc41eb70b4

Observation 3783f2a7-21fe-49ef-80df-65bf049daaea · outbound

This paper cites Deep blind video super- resolution,.

A Survey of Deep Learning Video Super-Resolution Deep blind video super- resolution,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.815396Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.440861Z digest=sha256:8d16a04ba39379d74e9a7379b07b3d68f0766aa218d5c4f1fea277139105e36b

Observation 75f99e26-5429-4a47-87e5-36ac33ac41af · outbound

This paper cites Blind super resolution of real-life video sequences,.

A Survey of Deep Learning Video Super-Resolution Blind super resolution of real-life video sequences,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.795376Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.447871Z digest=sha256:13d91ca8d81a8111e177da9150cf391d475ab410762d12eb245b763559b2873f

Observation eb1829f3-a869-4834-a504-301ef78156ad · outbound

This paper cites Investigating tradeoffs in real-world video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Investigating tradeoffs in real-world video super-resolution,

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:15.455567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.455567Z digest=sha256:83f98269235713d3333eaf1cb6d739f594aac6cbd2e6b8dc233811725a28d75d

Observation 95efdb52-b4b2-4efa-9d69-1723fc89287b · outbound

This paper cites Spatiotemporal dynamics and frame features for improved input selection in video super-resolution models,.

A Survey of Deep Learning Video Super-Resolution Spatiotemporal dynamics and frame features for improved input selection in video super-resolution models,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.761138Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.462682Z digest=sha256:0a862e8c0367ae85b2e8eae7656aca6eddf4a47371d4c204a485c0625b307b73

Observation 34e5149d-b01a-424d-b08a-27415e582a84 · outbound

This paper cites Video super- resolution with convolutional neural networks,.

A Survey of Deep Learning Video Super-Resolution Video super- resolution with convolutional neural networks,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.741811Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.469082Z digest=sha256:b4683f45b8ae54da8770ebd4c1fa90dccec2c42cfc05e5cb97b0c38c9a4889e5

Observation eddd9c5b-c16f-4e4c-a821-b4dccd167ae1 · outbound

This paper cites Real-time video super-resolution with spatio-temporal networks and motion compensation,.

A Survey of Deep Learning Video Super-Resolution Real-time video super-resolution with spatio-temporal networks and motion compensation,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.723421Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.475999Z digest=sha256:2c6841bf313545825f4b73c0dc568e0e9db82e18f43a1eb97904e2a021b25099

Observation f4a93fde-3e88-4cec-aa21-3116ce6e13bc · outbound

This paper cites Detail-revealing deep video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Detail-revealing deep video super-resolution,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.698350Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.482437Z digest=sha256:144837325f102d047230d9e8e23ecf079b9d90d70119866e966f0d380022f960

Observation e471f73c-7a19-4ec4-8bf3-25b89ead3464 · outbound

This paper cites Video super-resolution via bidirec- tional recurrent convolutional networks,.

A Survey of Deep Learning Video Super-Resolution Video super-resolution via bidirec- tional recurrent convolutional networks,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.679608Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.488454Z digest=sha256:c9a089d8ba0df1ce54e197ee79263532cdddaa88791144b22f2913055a40207f

Observation 3bf274b9-8a70-49bc-9dc0-5363c7e4f7dc · outbound

This paper cites Frame-recurrent video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Frame-recurrent video super-resolution,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.660878Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.494096Z digest=sha256:e3f15a8e16a17b4f625c72544809121c0479f8249d4b670a78638ec2b1ec0c39

Observation b06f3c7e-52f0-4819-a84a-12f0ee7fcccc · outbound

This paper cites Fast spatio-temporal residual network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Fast spatio-temporal residual network for video super-resolution,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.641958Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.499343Z digest=sha256:556e490b53fbcc2a1dc71c1492f3a1965b0f0b91af9a5e5fcc2a50cce3919775

Observation 7eca10c0-7b97-4174-9bfd-5b93c4605d69 · outbound

This paper cites Efficient video super-resolution through recurrent latent space propagation,.

A Survey of Deep Learning Video Super-Resolution Efficient video super-resolution through recurrent latent space propagation,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.624270Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.504446Z digest=sha256:296711342e11558349384720ee73095506860773f1a67ea628fe608765b2f391

Observation 3cc4071b-314d-4af9-8779-1285d8d366fd · outbound

This paper cites Tdan: Temporally-deformable alignment network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Tdan: Temporally-deformable alignment network for video super-resolution,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.606075Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.510158Z digest=sha256:c5cc885f0e908b57af3ecd6957736ff17aa48a8b0e99e4478c364f7eddc9c37b

Observation 85ca85d9-9cce-4a69-b062-e0dfc0a225fd · outbound

This paper cites Mucan: Multi- correspondence aggregation network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Mucan: Multi- correspondence aggregation network for video super-resolution,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.586791Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.515800Z digest=sha256:dd2d78cd38c662f82720223e87166af5c7fc29e07d64e12e7f2ab5398156804c

Observation 67f9e3ad-58df-4996-b0ca-eff2269f4e25 · outbound

This paper cites De- formable 3d convolution for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution De- formable 3d convolution for video super-resolution,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.569358Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.521499Z digest=sha256:7c39851d84eaaaa1461cd2cd66158fcbc2e90897d149e380992d6290de68b512

Observation ca8a8375-b464-4054-8d87-6821b6b59131 · outbound

This paper cites Multi-stage feature fusion network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Multi-stage feature fusion network for video super-resolution,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.549850Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.528136Z digest=sha256:e2f6fd280041560fb1586f0d2b44fa0d06841421eabbbe7e796e67395cfef07b

Observation a3936e80-aac8-4591-9971-c9ee5f968f75 · outbound

This paper cites Video super-resolution based on a spatio-temporal matching network,.

A Survey of Deep Learning Video Super-Resolution Video super-resolution based on a spatio-temporal matching network,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.530343Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.534172Z digest=sha256:5acdddd14cd4459ace7d255c2fde1b3629d4ee3b777974a60d1a84d7cf094e11

Observation d380052e-f4d8-464e-9741-ff70e16b2b7c · outbound

This paper cites Evsrnet: Efficient video super-resolution with neural architecture search,.

A Survey of Deep Learning Video Super-Resolution Evsrnet: Efficient video super-resolution with neural architecture search,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.509715Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.539010Z digest=sha256:feaca3f7aae2240325754d03aa8d2da937007ab5a12663869a45bf4256ad94ab

Observation 4f362e58-facb-4aa1-bbe5-85756d8f2f72 · outbound

This paper cites FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution.

A Survey of Deep Learning Video Super-Resolution FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:25:16.272989Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.544258Z digest=sha256:e996465770473e58513f2f6a34fa47bbd8165a11e5c561f400e68351b723527f

Observation b06ba6bb-60b0-4040-be5f-c20addc3da35 · outbound

This paper cites Omniscient video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Omniscient video super-resolution,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.484388Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.550768Z digest=sha256:3d7fa367700a7603b7e5830f84734bba06b8c9aba04eebe95a038a1abb1ba94d

Observation af9b6398-b846-48d8-9e38-4292d8105bcc · outbound

This paper cites A progressive fusion generative adversarial network for realistic and consistent video super-resolution,.

A Survey of Deep Learning Video Super-Resolution A progressive fusion generative adversarial network for realistic and consistent video super-resolution,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.456344Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.556759Z digest=sha256:a747e493e51d9ae0ba264c32f313c3263b01229c863f2344ffa7aaf6235dbe36

Observation 00965615-f184-4b0e-99bb-e2afed2e4e32 · outbound

This paper cites Learning trajectory-aware trans- former for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Learning trajectory-aware trans- former for video super-resolution,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.433167Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.562519Z digest=sha256:88c7eebe3e2f413a40af9cbd8dec4597621d7ca2d50f0000a8168df05e0821b9

Observation f23ebd19-c62f-49ee-b9c8-c02c450e0390 · outbound

This paper cites Basicvsr++: Improving video super-resolution with enhanced propagation and alignment,.

A Survey of Deep Learning Video Super-Resolution Basicvsr++: Improving video super-resolution with enhanced propagation and alignment,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:15.568317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.568317Z digest=sha256:33e2791728e6b988f10f840d38e3cd8fe1f14efd13324d5e820d0d6153e8e33e

Observation 54e4af1f-b8b1-4ca8-a772-d2e5590bd72c · outbound

This paper cites Rethinking alignment in video super-resolution transformers,.

A Survey of Deep Learning Video Super-Resolution Rethinking alignment in video super-resolution transformers,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.391507Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.573610Z digest=sha256:a77c0190bb5d7946177c3d658d11a815b9427d6189c0f62404ad2832518a3734

Observation 8afe74d4-b53d-46d3-829c-8d1424a73e46 · outbound

This paper cites Optical flow estimation using a spatial pyramid network,.

A Survey of Deep Learning Video Super-Resolution Optical flow estimation using a spatial pyramid network,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:15.578853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:15.578853Z digest=sha256:215abb02cbd4b7d682d9b6b90bd221ec2b0938ed83be894a2c3a32f39176daaf

Observation 16f64475-dfec-4fbc-b2f2-d9a9b7d5b2e9 · outbound

This paper cites Deformable convolutional networks,.

A Survey of Deep Learning Video Super-Resolution Deformable convolutional networks,

Reference 77

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4440eec8-b165-4859-ab3e-ae0119c4d153 · outbound

This paper cites Understanding deformable alignment in video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Understanding deformable alignment in video super-resolution,

Reference 78

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

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Observation 42544d2a-a72a-48bc-9848-70af37976e89 · outbound

This paper cites Progressive fusion video super-resolution network via exploiting non-local spatio-temporal cor- relations,.

A Survey of Deep Learning Video Super-Resolution Progressive fusion video super-resolution network via exploiting non-local spatio-temporal cor- relations,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.320135Z

Source-reported events for the cited work

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

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Observation 4a1b49a8-4317-4c81-a79c-4f915f7aced2 · outbound

This paper cites Local-global temporal difference learning for satellite video super- resolution,.

A Survey of Deep Learning Video Super-Resolution Local-global temporal difference learning for satellite video super- resolution,

Reference 80

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raw_fallback, observed 2026-08-07T11:25:17.299754Z

Source-reported events for the cited work

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

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Observation 7d3ade70-aad0-4547-8cd6-80abc2d9d43e · outbound

This paper cites Memory-augmented non-local attention for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Memory-augmented non-local attention for video super-resolution,

Reference 81

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Source-reported events for the cited work

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

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Observation e5014023-1d50-4212-b7e7-cc0c19ca7653 · outbound

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

A Survey of Deep Learning Video Super-Resolution Deep laplacian pyramid networks for fast and accurate super-resolution,

Reference 82

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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 2026-08-07T06:34:17.273281+00:00.

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Observation 44c24f1a-4c49-4976-ad3f-9ec9426d0d84 · outbound

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

A Survey of Deep Learning Video Super-Resolution Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,

Reference 83

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verified exact
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Source-reported events for the cited work

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

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Observation d3f9bf2f-f9f0-40c1-a7a8-217350ea7169 · outbound

This paper cites Gen- erative adversarial networks and perceptual losses for video super- resolution,.

A Survey of Deep Learning Video Super-Resolution Gen- erative adversarial networks and perceptual losses for video super- resolution,

Reference 84

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Source-reported events for the cited work

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

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Observation b90c502e-9a13-4e09-9bac-733fb0740477 · outbound

This paper cites A survey on generative adversarial net- works: Variants, applications, and training,.

A Survey of Deep Learning Video Super-Resolution A survey on generative adversarial net- works: Variants, applications, and training,

Reference 85

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raw_fallback, observed 2026-08-07T11:25:17.221633Z

Source-reported events for the cited work

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

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Observation c6dbb80b-e3fd-4074-b1e0-c9592e69e1c6 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

A Survey of Deep Learning Video Super-Resolution Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 86

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no resolver link, observed 2026-08-07T11:25:15.635910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ea2eba0-69dd-4801-af8a-8a8de36955a1 · outbound

This paper cites LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.

A Survey of Deep Learning Video Super-Resolution LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Reference 87

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no resolver link, observed 2026-08-07T11:25:15.642266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f68b9c6-bb49-4458-b38a-8c4553823b1d · outbound

This paper cites Deep-learning forecasting method for electric power load via attention-based encoder-decoder with bayesian optimization,.

A Survey of Deep Learning Video Super-Resolution Deep-learning forecasting method for electric power load via attention-based encoder-decoder with bayesian optimization,

Reference 88

Resolution
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raw_fallback, observed 2026-08-07T11:25:17.202774Z

Source-reported events for the cited work

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

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Observation 1d1400ec-778a-499a-991d-b77953000415 · outbound

This paper cites A survey on vision transformer,.

A Survey of Deep Learning Video Super-Resolution A survey on vision transformer,

Reference 89

Resolution
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no resolver link, observed 2026-08-07T11:25:15.657860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35cafe51-1316-4a67-8177-f49c2542714a · outbound

This paper cites Residual invertible spatio-temporal network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Residual invertible spatio-temporal network for video super-resolution,

Reference 90

Resolution
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raw_fallback, observed 2026-08-07T11:25:17.170636Z

Source-reported events for the cited work

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

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Observation 184a38d7-f42f-4ead-bd15-371d7bb92b40 · outbound

This paper cites Multi- memory convolutional neural network for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Multi- memory convolutional neural network for video super-resolution,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.152025Z

Source-reported events for the cited work

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

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Observation dadd7d35-3f8d-48ec-9aff-647fc39f094d · outbound

This paper cites Video en- hancement with task-oriented flow,.

A Survey of Deep Learning Video Super-Resolution Video en- hancement with task-oriented flow,

Reference 92

Resolution
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Source-reported events for the cited work

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

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Observation cae8de6f-1d51-4e43-9d39-a234f2ffeff9 · outbound

This paper cites On bayesian adaptive video super resolution,.

A Survey of Deep Learning Video Super-Resolution On bayesian adaptive video super resolution,

Reference 93

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raw_fallback, observed 2026-08-07T11:25:17.116407Z

Source-reported events for the cited work

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

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Observation 57dcaa84-ca13-4e9d-a68d-50d3ce7abe62 · outbound

This paper cites Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study,.

A Survey of Deep Learning Video Super-Resolution Ntire 2019 challenge on video deblurring and super- resolution: Dataset and study,

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.097421Z

Source-reported events for the cited work

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

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Observation a566221a-d328-414c-9648-d936e406f089 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Survey of Deep Learning Video Super-Resolution Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 95

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24ff147a-db39-4a95-a5b3-c93a0650afad · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

A Survey of Deep Learning Video Super-Resolution Imagenet classification with deep convolutional neural networks,

Reference 96

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 737e8bf8-cc4a-4099-9c18-8074a451a0be · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Survey of Deep Learning Video Super-Resolution Adam: A Method for Stochastic Optimization

Reference 97

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc64784b-b0f8-44ef-ab58-295253340bb0 · outbound

This paper cites Space-time distillation for video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Space-time distillation for video super-resolution,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.069690Z

Source-reported events for the cited work

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

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Observation 8ae02632-3eb9-46fe-84fd-5f93d63d0618 · outbound

This paper cites Online video super-resolution with convolutional kernel bypass grafts,.

A Survey of Deep Learning Video Super-Resolution Online video super-resolution with convolutional kernel bypass grafts,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.052040Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:25:15.729084Z digest=sha256:b0b1eee677abe3896a191a79b0a158e50b9f52b3b186dc579f84bcbeb7927877

Observation 30893e1f-7140-4539-9dbd-ce9a42552a93 · outbound

This paper cites Knowledge distillation for optical flow-based video super-resolution,.

A Survey of Deep Learning Video Super-Resolution Knowledge distillation for optical flow-based video super-resolution,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:25:17.034004Z

Source-reported events for the cited work

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

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Pith citing papers

No inbound Pith citation observations are available.