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Paper Citation Record · LEDGER

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

As of 21 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2605.00310.

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

pith.paper-citation-record.v1
2605.00310 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

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measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:09:03.641830Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a4d87e0f-7f3e-48f3-8e0a-e94eedadc6c0 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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Observation 09e51851-e01a-46e2-9110-8cd7832c5427 · outbound

This paper cites Improving component substitution pansharpening through multivariate regression of ms + pan data.IEEE Transactions on Geoscience and Remote Sensing, 45(10):3230– 3239.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Improving component substitution pansharpening through multivariate regression of ms + pan data.IEEE Transactions on Geoscience and Remote Sensing, 45(10):3230– 3239

Reference 2

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Observation fb2dcb65-a914-46a6-ab82-86201e9fae3c · outbound

This paper cites Canopy height model and naip imagery pairs across conus.Scientific Data, 12(1):322.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Canopy height model and naip imagery pairs across conus.Scientific Data, 12(1):322

Reference 3

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Observation 37fbe742-969f-4053-9d1d-bfca017b9168 · outbound

This paper cites Apache Sedona.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Apache Sedona

Reference 4

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Observation a6acaff9-fcc1-4aea-8b97-6b391a01327c · outbound

This paper cites Cnn-based super-resolution of hyperspectral images.IEEE Transactions on Geoscience and Remote Sensing, 58(9):6106–6121.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cnn-based super-resolution of hyperspectral images.IEEE Transactions on Geoscience and Remote Sensing, 58(9):6106–6121

Reference 5

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Observation 44d73b53-342a-4a22-a6fd-079d9370aa44 · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Toward real-world single image super-resolution: A new benchmark and a new model

Reference 6

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Observation 464fbc25-66ca-4628-ada2-b1351f1ebd3b · outbound

This paper cites Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach

Reference 7

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Observation fecaa78b-ca3b-46cf-b788-fa0b42a82dfc · outbound

This paper cites Activating more pixels in image super-resolution transformer.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Activating more pixels in image super-resolution transformer

Reference 8

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Observation 02ad7945-e720-418d-b7a7-750bb8ae314b · outbound

This paper cites Binarized diffusion model for image super- resolution.Advances in Neural Information Processing Systems, 37:30651–30669.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Binarized diffusion model for image super- resolution.Advances in Neural Information Processing Systems, 37:30651–30669

Reference 9

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Observation 3cbafc29-99cd-48ce-937e-17c44a0f9360 · outbound

This paper cites Recursive Generalization Transformer for Image Super-Resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Recursive Generalization Transformer for Image Super-Resolution

Reference 10

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Observation 69546fe8-3b3a-4597-99c7-c58cf67b4bd9 · outbound

This paper cites A solar panel dataset of very high resolution satellite imagery to support the sustainable development goals.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A solar panel dataset of very high resolution satellite imagery to support the sustainable development goals

Reference 11

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Observation df47b9ea-69c4-4ca0-b11f-87fdd319ac81 · outbound

This paper cites Open high- resolution satellite imagery: The worldstrat dataset–with application to super-resolution.Advances in Neural Information Processing Systems, 35:25979–25991.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Open high- resolution satellite imagery: The worldstrat dataset–with application to super-resolution.Advances in Neural Information Processing Systems, 35:25979–25991

Reference 12

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Observation 2ccb4467-51e8-4304-98ab-11004da806aa · outbound

This paper cites National land cover database (nlcd) 2021 products.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration National land cover database (nlcd) 2021 products

Reference 13

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Observation 4597bd1b-5f94-4826-9be2-616f1aa80c32 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Learning a deep convolutional network for image super-resolution

Reference 14

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Observation 21d7ee2c-0d85-40ad-91c7-c4d00a8c6a66 · outbound

This paper cites Esa worldcover global land cover service.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Esa worldcover global land cover service

Reference 15

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Observation 52f2922a-ac1e-42ea-9cce-7a6e0e400b37 · outbound

This paper cites Remote sensing time series analysis: A review of data and applications.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Remote sensing time series analysis: A review of data and applications

Reference 16

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Observation 11dd4654-392f-4e24-947d-6d74dbc55ef9 · outbound

This paper cites Copernicus_s2_cloud_probability: Sentinel -2 cloud probability.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Copernicus_s2_cloud_probability: Sentinel -2 cloud probability

Reference 17

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Observation 55a1b5a5-0f16-4193-94c9-c71fe71834d8 · outbound

This paper cites Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Spatial-temporal super-resolution of satellite imagery via conditional pixel synthesis

Reference 18

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Observation 8b92f8b7-4a1e-4a25-a479-eb7455a787ce · outbound

This paper cites Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution

Reference 19

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Observation d7575cfc-d240-4b07-a9b9-e72ef4db97ea · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cascaded diffusion models for high fidelity image generation.Journal of Machine Learning Research, 23(47):1–33

Reference 20

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Observation 80a5db01-87e8-4422-8847-129bb0bc7d0f · outbound

This paper cites Efficient swin transformer for remote sensing image super-resolution.IEEE Transactions on Image Processing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Efficient swin transformer for remote sensing image super-resolution.IEEE Transactions on Image Processing

Reference 21

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Observation 986b5e94-10be-4ea4-a124-a9e7016215d3 · outbound

This paper cites Lobell, and Stefano Ermon.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Lobell, and Stefano Ermon

Reference 22

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Observation b074a783-bb2c-4043-9bed-6d7b8ff6fc82 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Accurate image super-resolution using very deep convolutional networks

Reference 23

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Observation 4cbc106e-e18e-4a33-93d8-13ef889325ea · outbound

This paper cites Single-image super-resolution using sparse regression and natural image prior.IEEE transactions on pattern analysis and machine intelligence, 32(6):1127–1133.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Single-image super-resolution using sparse regression and natural image prior.IEEE transactions on pattern analysis and machine intelligence, 32(6):1127–1133

Reference 24

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Observation 45518e86-517d-4e22-9068-6821fd7c2358 · outbound

This paper cites Toward bridging the simulated-to-real gap: Benchmarking super-resolution on real data.IEEE transactions on pattern analysis and machine intelligence, 42(11):2944–2959.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Toward bridging the simulated-to-real gap: Benchmarking super-resolution on real data.IEEE transactions on pattern analysis and machine intelligence, 42(11):2944–2959

Reference 25

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Observation 5e30e8a8-ac76-43d5-b333-5d5889886222 · outbound

This paper cites A real-world benchmark for sentinel-2 multi-image super-resolution.Scientific Data, 10(1):644.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A real-world benchmark for sentinel-2 multi-image super-resolution.Scientific Data, 10(1):644

Reference 26

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Observation 1d9ac585-ded4-4652-abda-b892449201ef · outbound

This paper cites A high-resolution canopy height model of the earth.Nature Ecology & Evolution, 7(11):1778–1789.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A high-resolution canopy height model of the earth.Nature Ecology & Evolution, 7(11):1778–1789

Reference 27

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Observation ad4e488f-44de-4c61-9534-a331b6cf0e0c · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Photo-realistic single image super- resolution using a generative adversarial network

Reference 28

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Observation 28c7dd0f-1ab6-40f9-81bb-45ff696809a8 · outbound

This paper cites Transformer-based multistage enhancement for remote sensing image super-resolution.IEEE Transac- tions on Geoscience and Remote Sensing, 60:1–11.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Transformer-based multistage enhancement for remote sensing image super-resolution.IEEE Transac- tions on Geoscience and Remote Sensing, 60:1–11

Reference 29

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Observation 48be5784-903d-4faf-adf4-6b5436aa2b83 · outbound

This paper cites Sed: Semantic-aware discriminator for image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Sed: Semantic-aware discriminator for image super-resolution

Reference 30

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Observation 9dca5b88-7e21-4aa4-a40a-79a382fe6db4 · outbound

This paper cites A global analysis of sentinel-2a, sentinel-2b and landsat-8 data revisit intervals and implications for terrestrial monitoring.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A global analysis of sentinel-2a, sentinel-2b and landsat-8 data revisit intervals and implications for terrestrial monitoring

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.645053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:8825b0aeffad56fc3f22b7c45534c215a7b59b330bd84f5619db11206c14399c

Observation cbae18f4-6539-40a4-99fa-8363ab68ad6a · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Lsdir: A large scale dataset for image restoration

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.646726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:93e02cc776bf08f6d4467c57fc7624080c6e279fb5a40911b5c9607c13cedb28

Observation d2c9e688-2acc-4083-a53e-a75a735c8991 · outbound

This paper cites A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks.Science China Information Sciences, 63:1–16.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks.Science China Information Sciences, 63:1–16

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.638591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:ff8170fe5e74c03a6d065c8a82f2687bbb14110a3bf7a8211c70605f81509da3

Observation ff7e697e-8e23-47e5-846a-a876c6c7269a · outbound

This paper cites Swinir: Image restoration using swin transformer.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Swinir: Image restoration using swin transformer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.651007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:50dd82ac6bbabe2a8745da5bbeaa77651447e24bb6a1ed0ce92d2627c6409863

Observation 93596ce2-06d5-4dc4-ba70-974e5ea43c9b · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Enhanced deep residual networks for single image super- resolution

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.652689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:052e20ff6ec4cac7b561748197b04bf83fd0f5d1ee1d95ce83411bd4411834bf

Observation 1f7169ae-5b78-4a4d-9436-20ac37740f97 · outbound

This paper cites Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.083393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:9e45389a58f29bd147148e3585d9655e20698a7b4029d0275fc5aeeea9393cfa

Observation be316faa-8527-47f2-907d-8aa943e7709c · outbound

This paper cites an unresolved cited work.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-07-06T13:12:31.656812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:d321e0558bbf17447740f4f2a409b3b6c9ea1fad66e194647d35c5a07df35c24

Observation 918d1276-0bfe-4ba0-a872-29b175454795 · outbound

This paper cites Difffno: Diffusion fourier neural operator.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Difffno: Diffusion fourier neural operator

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.634792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:ae980893e0f7b7d65347d4b52720a6e70a22a43f2297b4dd4ccb82edc9809466

Observation 00bba730-1136-40b2-87f0-bb3bac9cf67f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Swin transformer: Hierarchical vision transformer using shifted windows

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.652867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:b16f8d713bad520604253c440be6bd1ee7ee8c1eb20180cdab1cc496d9aa1089

Observation c964a87c-0f18-44e2-9109-f1556d4ae3eb · outbound

This paper cites China building rooftop area: the first multi-annual (2016–2021) and high-resolution (2.5 JOURNAL OF LATEX CLASS FILES, VOL.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration China building rooftop area: the first multi-annual (2016–2021) and high-resolution (2.5 JOURNAL OF LATEX CLASS FILES, VOL

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.650804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:24c1c224a98fcc0893b54c1a89ac5aa47ac0ed06e4f410b224ecc7d55909738a

Observation a98c489e-3cda-4e77-aa88-d36b764aeda9 · outbound

This paper cites Transformer for single image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Transformer for single image super-resolution

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.616274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:21ce1e522b2c3a452db6d50798b5061d0f552592a075ea4edff9ec63e2a38140

Observation fe6edaf7-3577-4328-b39e-b64c88c63994 · outbound

This paper cites Super- resolution of proba-v images using convolutional neural networks.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Super- resolution of proba-v images using convolutional neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.557192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:5a3efdc9f1fca14e9bf6d3273c1d05edc2d16da34c49c7bc071e51634cc8b7cb

Observation 1914d835-bb00-430b-a221-739a7b050d7d · outbound

This paper cites A conditional diffusion model with fast sampling strategy for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A conditional diffusion model with fast sampling strategy for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.561468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:b9ae2df652ea3b57e631fac1bad3d7521327a86925ba440071dd54295ab77085

Observation 41eaf38d-72a1-45c2-9c9c-fa102f998754 · outbound

This paper cites Global urban areas: High-resolution population density and settlement data.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Global urban areas: High-resolution population density and settlement data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.551534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:43e2b764cd4795e2ce0bcc86c8385f7db68b24faa05c966e323667eaa7b93d6b

Observation 9845b05c-4979-4c48-8245-0f8c61efe85a · outbound

This paper cites Sen2venµs, a dataset for the training of sentinel-2 super-resolution algorithms.Data, 7(7):96.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Sen2venµs, a dataset for the training of sentinel-2 super-resolution algorithms.Data, 7(7):96

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.553322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:addfb276ee2af9de444a89171177951790fd90c7d6ef82130a2ccf356e5a104e

Observation 5ef9d680-6949-4c28-966a-58de421a1c93 · outbound

This paper cites USRoadDetections: U.S.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration USRoadDetections: U.S

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.563141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:999922c6512e614a50e6104398e262585a3e2fe9d67ea5ef4300681ee4dd2fee

Observation 165eea03-4ac9-4561-96c7-48ff11c941cc · outbound

This paper cites Ntsg landsat gross primary production (gpp) v2.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Ntsg landsat gross primary production (gpp) v2

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.547362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:c73784bb25aad9979bcd491f32904c263064772ff9a61fdb3a9d4a6daf1d0222

Observation 616eb492-d036-4b40-a89a-890a64d88575 · outbound

This paper cites Landland- cov_baselc2022.tif.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Landland- cov_baselc2022.tif

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.533527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:ad385090703d72a42b692a2a9452921218540bb9b1725b54f057155ce00d200b

Observation 0a9e931e-1a80-4b1b-8cc4-b63e3469a7ea · outbound

This paper cites Advancing image super-resolution techniques in remote sensing: A comprehensive survey.ISPRS Journal of Photogrammetry and Remote Sensing, 231:68–100.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Advancing image super-resolution techniques in remote sensing: A comprehensive survey.ISPRS Journal of Photogrammetry and Remote Sensing, 231:68–100

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.527505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:e59fd377d5e8648db5a166f6c88142cff31df45caa865725e431e8e64ea57af7

Observation 68b832c3-b1a5-4741-a237-2462fb90fad4 · outbound

This paper cites Cfat: Un- leashing triangular windows for image super-resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cfat: Un- leashing triangular windows for image super-resolution

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.543649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:94200b678dd8251b816cf4372bb5b98bc8fa9621b252c9477ef475ee4a790fcc

Observation 9ea1ffea-6e26-4068-9588-76054c5589d8 · outbound

This paper cites Lavista Ferres, and Peyman Najafirad.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Lavista Ferres, and Peyman Najafirad

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.520837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:23c1fb729ad2e12cadd89b352e38bfe9db8f336dc2e65e8e061a2dea942726e3

Observation 03d6825c-d1ea-47f8-9421-1c6c1da990ff · outbound

This paper cites Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Image super-resolution via iterative refinement.IEEE transactions on pattern analysis and machine intelligence, 45(4):4713–4726

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.509425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:6b9ae1c786481fe70b08e70b5d582c11c673b0b3c4ab545ca39d45087210cce6

Observation 6d4e46bf-a112-4400-8fad-19ee3ce212cd · outbound

This paper cites Rethinking image evaluation in super- resolution.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Rethinking image evaluation in super- resolution

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.087094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:e29bac113b18b1d22f208517f94a09c96ab6d2dad27cadcf408f24483987568f

Observation 51875eb8-e199-44cd-8fab-dcb2aad594b3 · outbound

This paper cites Deriving high spatiotemporal remote sensing images using deep convolutional network.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Deriving high spatiotemporal remote sensing images using deep convolutional network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.543407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:1382f42fafc1a8be43a51d796d5e047f8e6980303f6f2ed4ff8182479bd79501

Observation 14ec1b65-ca5b-4ea9-8ce6-46d2c4d5467e · outbound

This paper cites Computer generated building footprints for the united states.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Computer generated building footprints for the united states

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.511996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:ff5f3665b16e43e9ac9f1e92fdc556b95e48941a082febcff99a79cb9edac55d

Observation a94045fe-c3da-4c18-b9a1-b2d888c93235 · outbound

This paper cites Geological Survey.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Geological Survey

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.620607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:52989916902323045453912572d452af18859f1d4442c336732014c16b0b178c

Observation db3c5bd4-f2c1-43b9-b4a3-1d5ba167e864 · outbound

This paper cites Naip seam lines by state.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Naip seam lines by state

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.524785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:345f0825eff3382d583d3f5d5ab70970919652a875aa2b4de4d4a51fc9ad9f0d

Observation 13c1f919-2c33-49fb-96ec-7da08750af7e · outbound

This paper cites Cropland data layer.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Cropland data layer

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.545344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:c0778e26f9eb43ec1262bdfa4e03447738a930181d2fd3a6472912a5419df399

Observation 75813f09-54c7-4bca-bd21-b58fca9c7ff1 · outbound

This paper cites A cnn-based sentinel- 2 image super-resolution method using multiobjective training.IEEE Transactions on Geoscience and Remote Sensing, 61:1–14.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration A cnn-based sentinel- 2 image super-resolution method using multiobjective training.IEEE Transactions on Geoscience and Remote Sensing, 61:1–14

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.581628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:cdd9c01e08bce629f05566eda363bb9b5408684f439517f647de692415afdf8c

Observation 79aea3c5-f232-4f04-abf7-9b6274ff0449 · outbound

This paper cites Towards real-world remote sensing image super- resolution: A new benchmark and an efficient model.IEEE Transactions on Geoscience and Remote Sensing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Towards real-world remote sensing image super- resolution: A new benchmark and an efficient model.IEEE Transactions on Geoscience and Remote Sensing

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.596324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:5cfe414b05d79a8bfdb9d38af5064fbcbdc1838aa241224c40f97245bc3db40a

Observation 4ad876dc-403e-4b96-a4d6-58cd21248d82 · outbound

This paper cites Virtual image pair-based spatio-temporal fusion.Remote Sensing of Environment, 249:112009.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Virtual image pair-based spatio-temporal fusion.Remote Sensing of Environment, 249:112009

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.594196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:4874eabe250b50d2df4cb93ccdef4d07284fdcd8a771fc3a26c7ff55e664c9fc

Observation 2ac97a7a-e8e3-4772-ba1c-9e7d0d2b52dc · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.588399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:71a0f6f0b41d9dca47a3a0d68625213c9c0b7f1806acb7e4620dd71523245f36

Observation 2b29586b-1b12-40cd-945b-855341d4c916 · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Esrgan: Enhanced super-resolution generative adversarial networks

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.586039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a429d7c4-6dfb-433b-97c1-fa8cb2602581 · outbound

This paper cites attention.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration attention

Reference 64

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 51b2f311-3b9c-4988-9d08-b9fb6ad83028 · outbound

This paper cites Treefinder: A us-scale benchmark dataset for individual tree mortality monitoring using high- resolution aerial imagery.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Treefinder: A us-scale benchmark dataset for individual tree mortality monitoring using high- resolution aerial imagery

Reference 65

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:c197f41a23f7d99c745b69f1ad2c9077f14194c40b90f89154c84b11299a6800

Observation d2878527-0466-43f6-a2f2-b65d9c86dbf2 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Image quality assessment: from error visibility to structural similarity

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.598609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0a1104a8-e239-4e8d-a2b9-1a1a9b4dcc62 · outbound

This paper cites Super-resolution neural operator.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Super-resolution neural operator

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.614309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 814be3e2-b42a-4f25-aa0b-408678a35499 · outbound

This paper cites Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Zooming Out on Zooming In: Advancing Super-Resolution for Remote Sensing

Reference 68

Resolution
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arxiv_id, observed 2026-07-01T08:25:33.071307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 1c9894d1-4825-4794-93b5-bbcae459eece · outbound

This paper cites Free-flowing rivers - wwf hydrosheds v1.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Free-flowing rivers - wwf hydrosheds v1

Reference 69

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 21f729fc-069e-4d4a-a227-0f7cc2467e80 · outbound

This paper cites Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14

Reference 70

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:d7cca7dd51f6aa25ead8e5df7a6e26e1ab304162cb024f0cf5ccd3a266539cfd

Observation 962fa46d-9b6c-4459-88e7-b7251b16773f · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.Advances in neural information processing systems, 34:12077–12090.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Segformer: Simple and efficient design for semantic segmentation with transformers.Advances in neural information processing systems, 34:12077–12090

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.626757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:3563bb776c5fc57e6cf0605ce4344cccdd22f3bca0028b70615c6bed02b78548

Observation 5d31fd80-240e-4095-8f71-367927c56e8e · outbound

This paper cites Neurop-diff: Continuous remote sensing image super-resolution via neural operator diffusion.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Neurop-diff: Continuous remote sensing image super-resolution via neural operator diffusion

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:25:33.067955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 31ab6b18-89ea-4e39-8852-96bf73a328a4 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Learning texture transformer network for image super-resolution

Reference 73

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4008d8b0-809a-49a5-bd41-5866345b7b3e · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration On single image scale- up using sparse-representations

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:9ac428716d2038671302e8c3cc8018071dda5afcb404ce7e3cad8d0978a40017

Observation a3565726-45f4-455f-8a0b-c8d7bda465c4 · outbound

This paper cites Transcending the limit of local window: Advanced super-resolution transformer with adaptive token dictionary.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Transcending the limit of local window: Advanced super-resolution transformer with adaptive token dictionary

Reference 75

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:515a4b93adca23707e1ba27012c7b43f5886ffe84f130c848367d9c4ebde122d

Observation 599021dd-203c-4221-b285-05ee88898bb8 · outbound

This paper cites Uncertainty- guided perturbation for image super-resolution diffusion model.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Uncertainty- guided perturbation for image super-resolution diffusion model

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.628677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:9beb4f346261a60a3aa6b201e0b3b4c3a81ca3191d090462306b6dd5eb733761

Observation a5f96561-efba-4354-b526-5180115ace4d · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Adding conditional control to text-to-image diffusion models

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6b354938-ac22-4b86-b9cf-0efb8d5fcf3b · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration The unreasonable effectiveness of deep features as a perceptual metric

Reference 78

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d723dc91-90f4-4312-8131-662567296697 · outbound

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

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Image super-resolution using very deep residual channel attention networks

Reference 79

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 76377d9e-248f-42b7-a01c-d3908b726bdf · outbound

This paper cites Single-image super-resolution based on rational fractal inter- polation.IEEE Transactions on Image Processing, 27(8):3782–3797.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Single-image super-resolution based on rational fractal inter- polation.IEEE Transactions on Image Processing, 27(8):3782–3797

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.609895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7e7b4885-5203-4e34-91ad-f8338e219e65 · outbound

This paper cites Arbitrary-scale planetary remote sensing super-resolution via adaptive frequency–spatial neural operator.Remote Sensing, 17(22):3718.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Arbitrary-scale planetary remote sensing super-resolution via adaptive frequency–spatial neural operator.Remote Sensing, 17(22):3718

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.600654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:fadcb23672601ac9b4a5b7079d460892acf7f1c9281a6c8c7ea34d33eebef509

Observation ac88a11a-29f2-40bb-9ae8-f4ac2895d327 · outbound

This paper cites Narrow road extraction from high-resolution remote sensing images: Swge-net and msif-net.Geo-spatial Information Science, pages 1–18, 2024.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Narrow road extraction from high-resolution remote sensing images: Swge-net and msif-net.Geo-spatial Information Science, pages 1–18, 2024

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Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.602769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:28dcae56646f4872ae4e8c594eef1674b89de7d192dd1f29d10fc4ae020ad0b7

Observation e073735b-9684-4fcc-873f-a7934f826fc7 · outbound

This paper cites Interpolation-based image super-resolution using multisurface fitting.IEEE Transactions on Image Processing, 21(7):3312–3318.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Interpolation-based image super-resolution using multisurface fitting.IEEE Transactions on Image Processing, 21(7):3312–3318

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.612210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:bf475fdc5f67e311d3467bfcb5df7679efc1ec029b0dc35d803a285dd497872f

Observation 4de78789-fa02-438e-95e8-a6ca649c85f6 · outbound

This paper cites Panformer: A transformer based model for pan-sharpening.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Panformer: A transformer based model for pan-sharpening

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.618528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:5f750e4d0d348775ed8964ff5e589a429e60963064eb3b8f11e1d60f34875ffc

Observation 5418fdde-2e04-493f-a983-92e406cf217f · outbound

This paper cites Mutual information-driven pan-sharpening.

Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration Mutual information-driven pan-sharpening

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T13:12:31.620388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:23:54.413015Z digest=sha256:b08e013cf485a36d81fdfbe72ba8218bebda6636322f9e16a83998da7420bf06

Pith citing papers

Observation 228dd8a6-138e-4e07-bffd-b27a6f3fc86b · inbound

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection cites this paper.

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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