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Paper Citation Record · LEDGER

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge

As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.01394.

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

pith.paper-citation-record.v1
2506.01394 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:08.435901Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

52 of 52 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b546718d-b299-4702-9e94-484190f92938 · outbound

This paper cites A high-quality denoising dataset for smartphone cameras.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge A high-quality denoising dataset for smartphone cameras

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 90ad6ae7-50b5-4143-9230-e33e61957996 · outbound

This paper cites Learning to see in the dark.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Learning to see in the dark

Reference 2

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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 2026-08-18T06:34:40.430872+00:00.

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Observation ed75efc4-006e-41db-b35b-4f6b1a5f451e · outbound

This paper cites Real-world blind super-resolution via feature matching with implicit high-resolution priors.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Real-world blind super-resolution via feature matching with implicit high-resolution priors

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d2e05917-252d-4c1e-9c85-5dfffa5c5e2e · outbound

This paper cites Hinet: Half instance normalization network for image restoration.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Hinet: Half instance normalization network for image restoration

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.356673Z digest=sha256:b402fd156b274002e054b4f5b89d02b4fed9344c8808e42a9a9c620782c578a4

Observation 4cb212f1-9678-4720-87ee-eec1b7dba9c8 · outbound

This paper cites Simple baselines for image restoration.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Simple baselines for image restoration

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.455455Z digest=sha256:49254856a0c48b043f89f90322629ba8b2d1207b41aa3081ae0b8a6843161d2a

Observation 984bfc45-fe58-46f1-8119-d0c4bf1c87f3 · outbound

This paper cites Simple baselines for image restoration.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Simple baselines for image restoration

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.536495Z digest=sha256:b2a55cfa31a0ea15b8be1235839970530467dc06515046bf079fd60063311e17

Observation edc26fae-4674-4ef6-b88f-47c4622cde4e · outbound

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

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Activating more pixels in image super-resolution transformer

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:12.773695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.589500Z digest=sha256:ba18de604b3afa939a4f39dcd825758d653407834c9410c4fd4cf304ddede269

Observation 2e0742be-b95b-41f2-a302-9ae6780b736d · outbound

This paper cites A comparative study of image restoration networks for general backbone network design.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge A comparative study of image restoration networks for general backbone network design

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:12.596218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.652819Z digest=sha256:2fe6ab20aa0054a16309bcd01fd074ba91caa345c81e0d7247336fdbfb22881a

Observation 3cb15a85-595a-4e8d-824d-6ecc15336d46 · outbound

This paper cites NTIRE 2025 challenge on image super-resolution (×4): Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on image super-resolution (×4): Methods and results

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:12.492790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.731725Z digest=sha256:474d1ddeac5d8ab4159eedd07460587c1c40a30ac72c7a3820ab01d307bd9f47

Observation 414e6b11-e937-4486-9cf6-d37bd813f907 · outbound

This paper cites NTIRE 2025 challenge on real-world face restoration: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on real-world face restoration: Methods and results

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 87cf8bfd-5183-4365-9daa-96c4fe4232d3 · outbound

This paper cites NTIRE 2025 challenge on raw image restoration and super-resolution.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on raw image restoration and super-resolution

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:12.160539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 621dd42f-4573-43c8-902c-2f7bb2b7d72a · outbound

This paper cites Raw image reconstruction from RGB on smartphones.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Raw image reconstruction from RGB on smartphones

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T11:50:11.945699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.863042Z digest=sha256:b3763eafa96f2ff77e33c4089af478a716f55c7c7e381b2720a2b6deb3322c49

Observation 57616f0d-448c-49da-b566-2a04e6801aca · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and machine intelligence, 44(5):2567–2581, 2020.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and machine intelligence, 44(5):2567–2581, 2020

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.899146Z digest=sha256:e70cdd35e14ce87c65096adc52b879ebb749ec69f3fd16e9c5cf77c406cab7d6

Observation 76fe2742-7c37-4d70-b473-e1f0c4394497 · outbound

This paper cites NTIRE 2025 challenge on night photography rendering.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on night photography rendering

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:11.699701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:04.936689Z digest=sha256:344994248a113795bc3bed86a493b4bfa490a76f8e52543a523fb5bb6a32503a

Observation 5cbd2cff-a073-48ec-84fb-4cc228c8de43 · outbound

This paper cites NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 02361408-1dda-441a-9752-15f9af37eba7 · outbound

This paper cites Div8k: Diverse 8k resolution image dataset.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Div8k: Diverse 8k resolution image dataset

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 27e7c63f-fbf3-47f1-933d-9a2eb3fa18be · outbound

This paper cites NTIRE 2025 challenge on text to image generation model quality assessment.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on text to image generation model quality assessment

Reference 17

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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 2026-08-18T06:34:40.430872+00:00.

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Observation 4a844db7-b62d-4a1d-b92a-da457cd1bad8 · outbound

This paper cites Aim 2020 challenge on learned image signal processing pipeline.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Aim 2020 challenge on learned image signal processing pipeline

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 88a6fec0-fc44-4be7-b276-c464966ef738 · outbound

This paper cites NTIRE 2025 challenge on video quality enhancement for video conferencing: Datasets, methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on video quality enhancement for video conferencing: Datasets, methods and results

Reference 19

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raw_fallback, observed 2026-08-07T11:50:11.195225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f979df86-67af-4b78-a014-d3d75c6d549f · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Perceptual losses for real-time style transfer and super-resolution

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-07T11:50:11.140793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:05.230040Z digest=sha256:29f0940c598ec72210e3abd06a5e011a8ad86bbab79e0d103ce842fd2a699e74

Observation b4820910-0115-43d1-9c3b-d3dd45203124 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge A style-based generator architecture for generative adversarial networks

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:05.268849Z digest=sha256:2553e87df3b7593294b4f6c5443dfb38b6bceefbfce8c8aea63255dd5fad1954

Observation bd06f0da-cb4f-401c-9bfd-f61fbdd997b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Adam: A Method for Stochastic Optimization

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:05.314928Z digest=sha256:645d1fa3990fc8557916bbb77b9e098fc79db899cc3227a3ba8f7f76887b9fea

Observation 6e0073b6-722b-4c3b-8444-e7c744f5cd1e · outbound

This paper cites Artifact generation when using perceptual loss for image deblurring.Authorea Preprints, 2023.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Artifact generation when using perceptual loss for image deblurring.Authorea Preprints, 2023

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ba4efd7c-abfd-4418-9823-145f8e1b874d · outbound

This paper cites Fast and accurate image super-resolution with deep laplacian pyramid networks.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Fast and accurate image super-resolution with deep laplacian pyramid networks

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 08cd5544-5477-4b1d-97ca-86b888fe6cf7 · outbound

This paper cites NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a6d85496-c637-4db4-a8c4-4f9de7e9aced · outbound

This paper cites NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7bf881ca-9fd7-4eef-a469-e7c08579e611 · outbound

This paper cites NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study

Reference 27

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:05.733379Z digest=sha256:51c1b1f3d087e03a994ba3948d8f425680fc659f51a1d7496df4559f688684b6

Observation be3954ea-e4f7-4369-a77e-3ee7bc2bb9da · outbound

This paper cites NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.599442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:05.834443Z digest=sha256:cc896903565b805a157ec506400fe9b9d2fa1477af9c853697e6701aa6a0c30c

Observation 9233dbef-5139-4690-b8f7-0d45ccb404a8 · outbound

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

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Lsdir: A large scale dataset for image restoration

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.541647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:05.959938Z digest=sha256:5c06e7714a8b7af44772ec5186b89aef39ea0ad7272dab9fb0eb18b045341479

Observation f7d52cdd-939c-41cc-af72-d343c210d69a · outbound

This paper cites Gustafsson, Zheng Zhao, Jens Sj¨olund, Thomas B.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Gustafsson, Zheng Zhao, Jens Sj¨olund, Thomas B

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T11:50:10.478422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.047289Z digest=sha256:6178d4ad1cf4c052f931b383da48f3c25d10accc40f93aa25719b375d6233dc8

Observation 1ea789b4-c3b7-46ec-951b-eb1518d60069 · outbound

This paper cites NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.374121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.104610Z digest=sha256:d7fbb047aabf4e568228b303367bae9ff1ea00cf2f50ececac03a7dfb17fd08a

Observation 294911e9-f089-46cc-bbbc-8a7b340b271d · outbound

This paper cites NTIRE 2025 XGC quality assessment challenge: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 XGC quality assessment challenge: Methods and results

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:06.202869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:06.202869Z digest=sha256:afca4f0ea3ada7a8f5f22b976fd8e5a14e4e066682ee7f2628b3814e326583b6

Observation 71c1402d-5c89-4df5-b873-a5f78a34648a · outbound

This paper cites NTIRE 2025 challenge on low light image enhancement: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on low light image enhancement: Methods and results

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.279515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.274172Z digest=sha256:5d1a855a8f9cbadc983f94a139058fd7870ff421663f056fc9d3fb81edccb4e1

Observation fc07aacc-45ae-418e-a66b-89bdc2f5b0b9 · outbound

This paper cites The tenth NTIRE 2025 efficient super-resolution challenge report.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge The tenth NTIRE 2025 efficient super-resolution challenge report

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.183733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.383209Z digest=sha256:cd2f1c3f72204107698f32fe56e555bcea2bbec8486463afd3aba0bc319e7684

Observation 24900fae-4401-4c34-9d90-284b4c192d67 · outbound

This paper cites NTIRE 2025 challenge on UGC video enhancement: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on UGC video enhancement: Methods and results

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.037507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.458137Z digest=sha256:2654660fb3a942e3461e877bda9918ee072d804c48b2e90cb5cf80f1bc6cb415

Observation 37eb58e3-3258-4d30-88c7-d7cc86be222e · outbound

This paper cites NTIRE 2025 challenge on event-based image deblurring: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on event-based image deblurring: Methods and results

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:06.576351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:06.576351Z digest=sha256:0d9e0a216ba00ca689399778650a62436276820393cc29956f73179f16b9b2c9

Observation 82a60c4e-1c9c-4870-b6ab-4476828698b1 · outbound

This paper cites The tenth ntire 2025 image denoising challenge report.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge The tenth ntire 2025 image denoising challenge report

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.914083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.635246Z digest=sha256:64f0edc7823c16cc7d7354533afc117a37d5616d3819c87b0398ab56330f1996

Observation 34deffd5-3d35-4486-a440-041a6ce286ad · outbound

This paper cites NTIRE 2025 image shadow removal challenge report.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 image shadow removal challenge report

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.806263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.715999Z digest=sha256:6a2cd0c5c96d87f6cca3d9f8126ce5bfc1b3b21d17da8c8199125d1a8abb1160

Observation 00a2a542-f3f4-4134-8b2a-940c7c4e267a · outbound

This paper cites NTIRE 2025 ambient lighting normalization challenge.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 ambient lighting normalization challenge

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.718699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.791100Z digest=sha256:94d2102c57d46e02e82296642532574cdb38b2ee5227c4d1a053c688d777c742

Observation cf765bd8-287d-4aff-8291-fed3f6a805a8 · outbound

This paper cites Swift parameter-free attention network for efficient super-resolution.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Swift parameter-free attention network for efficient super-resolution

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.628951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.859333Z digest=sha256:e90863bae62710c18d877cc245b9f6ec9916a4010afdf6e3a17c28808c8cd91e

Observation 9c4611fa-66a4-4586-b9c0-53bc3ca23149 · outbound

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

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.559752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:06.953373Z digest=sha256:6ff452b33c1dcb815ce41561869c8c569f951fa8026eaae03e1ae8c02f595f7a

Observation 2767d7f9-74f3-40d2-83ea-97b61a3b06ed · outbound

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

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.493753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:07.190878Z digest=sha256:63aaa153b3ef06a4d071ff7e0c1d3ffe7869659ebfe9b67576f642f49eb31082

Observation b0adac64-3a83-48f8-a483-9edd3a74942d · outbound

This paper cites NTIRE 2025 challenge on light field image super-resolution: Methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on light field image super-resolution: Methods and results

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.384275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:07.474750Z digest=sha256:62a5eea3adca12bb37ae7a7dec863b294a302e024e6601fe0500b2be3a240223

Observation 2c837a2a-4255-4ccc-bb54-5c2146cfe4cb · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.257798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:07.805311Z digest=sha256:90330cddf15e70ac0a9bc70de5e51de4169c52b762bab6bc85a2560a3a5d2b4e

Observation aeab3f93-64e9-41cc-a03c-627a17c323fa · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.Advances in Neural Information Processing Systems, 37:92529–92553, 2024.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge One-step effective diffusion network for real-world image super-resolution.Advances in Neural Information Processing Systems, 37:92529–92553, 2024

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:07.872332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:07.872332Z digest=sha256:e7a1e27701b7dbea2b8df2d1253f544c5743e063114d02ef8f4ddf6051a020ca

Observation 96991b3a-4b37-471f-baff-9184b8bf604e · outbound

This paper cites Seesr: Towards semantics-aware real-world image super-resolution.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Seesr: Towards semantics-aware real-world image super-resolution

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:09.098048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:07.949792Z digest=sha256:ace237629b6071dbfb7f25a26214e5488123ba56daf30faeb5fbc698aad5567f

Observation 0f7b8605-dbaf-4793-b2e8-485ac1c6cfeb · outbound

This paper cites NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:08.027040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:08.027040Z digest=sha256:7ccc83835dfd1ad6b75c7c03128d532443984c3a7703b7d6327b001db2ac2b4f

Observation 4aa5d253-dbd6-4d85-a246-6b4e17f036da · outbound

This paper cites NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:08.967845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:08.100711Z digest=sha256:037916e3623a6d4374442817d4eeeb3063c06214500628ca98a15f3830a1d2ea

Observation 2b093df4-b7c9-4eda-ad77-aec52f5637b8 · outbound

This paper cites Multi-stage progressive image restoration.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Multi-stage progressive image restoration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:08.871303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:08.228370Z digest=sha256:13fdd6c76db6f1d1e0cd2b7e21df341843f4825b3a68b7a0a5e7abc56a196e63

Observation a44247d3-8d93-4aaa-a460-8b330b8cb70c · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge Designing a practical degradation model for deep blind image super-resolution

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:08.780284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:08.323279Z digest=sha256:b50287a955f29dea267667f92bdf67ca8b964657dd7e9746ec5eec65267aeb66

Observation ba5ebdd8-aa98-4b5f-97f3-4c3be58e23f3 · outbound

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

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge The unreasonable effectiveness of deep features as a perceptual metric

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:08.687515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:08.398237Z digest=sha256:eed16430742e1df6190ae58d2ee8b35298e6c75bcdaeec4e80d3eaf28951458f

Observation 95a45581-211a-4f6c-b75b-98a00d577ffd · outbound

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

NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge The unreasonable effectiveness of deep features as a perceptual metric

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:50:08.591196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T11:50:08.435901Z digest=sha256:6143fbb89627251eea1a895de20a468a4db5c4b3db91aea72ab8df5987484183

Pith citing papers

No inbound Pith citation observations are available.