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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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  • unresolved5
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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 2026-08-08T06:32:00.761636+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.356673Z digest=sha256:a698b6fa9af1e08aa7bfbaa04b01723d3ddefef376e0c3fa46e6cd6982e74113

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.455455Z digest=sha256:631652b55a72a5ad054749cf9606a683389234ad02045a36cd196039894e940d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.536495Z digest=sha256:6444dd71b821dcbb0068b3ed7f2ab56793a01b57b7180e72e464d4a3d96c9700

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.589500Z digest=sha256:1092a95ae259602f2dec026e7753b60e13be820dfd78df696dc305e0b56b02e3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.652819Z digest=sha256:9030b23bbf5335c4808e853aeac293a5f8891ccaaf89e213c9181ed0628bd0f1

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.731725Z digest=sha256:47440c3c20d35ecf45895d8b8a5d177c23a61910f6b7efa061f1e6bd13cebac8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.788226Z digest=sha256:fcf8494a098a87b46b4e9b411dd12e26f8ad3e8d0770d5f4905b2691fba8c58a

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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.863042Z digest=sha256:480ecb77ff828c11cfc5b699cd5855272c813168b85fdee91c8620c58e8e9733

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.899146Z digest=sha256:206735d7dc0ee901d0c2b5a89956d3d74b21da0ecfea64f809b9d946c08dee24

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.936689Z digest=sha256:e439c8020be682b0ac6b5194734fe200bc04924b9685688e73efef43d72340c8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:04.993051Z digest=sha256:2d434e6e96ca33b5bcf2535538d35048c1b69aff39b55ef3844781b8c36a25c3

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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:05.106511Z digest=sha256:85a262ea38705ea52b497ffc8bb9c358401ff14c614e712d825f78dc69a78f58

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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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.

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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 2026-08-08T06:32:00.761636+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:05.409426Z digest=sha256:5cb35c43c4d30c86e07eba71d3a9cff149ef2c5ae1f2e38d98e24c8341c2de62

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 2026-08-08T06:32:00.761636+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:05.733379Z digest=sha256:33ee56e747c8b1439f7bc8626ffdcc97ed2dd06ee90a0ea207fed417d805ff0a

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:05.834443Z digest=sha256:01bb33bdc44323fb83461c4288eb4cac2bf068f5b1b3bc981a8364813a47b4a6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:05.959938Z digest=sha256:57f3bb2593c64b5e840066d815d012eb75c94961affce26a1ac875d99c26f164

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.047289Z digest=sha256:3f9815c0eb150d53e0b77180dd13a85b34b676fa86002a995253ff010a4824f5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.104610Z digest=sha256:4a6c6d726df555a515f31c07fdaa6808a3956c0196dc9cc3e7b15765f4749994

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=sha256:4a21e134258616a9d5bd28075c47641708fe66e0989cf8b0b4c5a7109e7b84d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.274172Z digest=sha256:ef1c83793087a5704cc351daae9868ed1cbb552fa338cdebb8459a168ef404e2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.383209Z digest=sha256:24d0199cd66def13aa568c4c0ce382edde3f89ee683f7c538fe1f4ac0f84c373

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.458137Z digest=sha256:00f22bc556e0eda8d93dfd5be502708fc75d46fc377957c297ba437fea0a8c31

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=sha256:3a37d1d1a0bab454356d7751cea3b3afc2fe3b562e4f8b32d49de03f85664dda

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.635246Z digest=sha256:c1002d3efd54699ecba5bdf11db32c1ffdfd1a65bc46626b6e145a9c61998fd1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.715999Z digest=sha256:6f4556a8d2ea201582dbfa5adc36dc67b0d28af56239a5d972001bdc32ac73cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.791100Z digest=sha256:081eae567015193c07eebfa7a828a1e9ff17e236d495a28ed0d16f35731476de

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.859333Z digest=sha256:64486f541cee23ab45267053ab721519079fc40d84687e867902246b8bff82fe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:06.953373Z digest=sha256:15fa0bffe9718e1e8556a0ace370e8941ad40d4491d232c3ba7e8d3dca5a6e0d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:07.190878Z digest=sha256:2abef8bf73543db57cddd779f8212848c272b0dc7be346e75532cb837dac8791

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:07.474750Z digest=sha256:08b845a18cfa3bf15efd98b13dcdb5ac4d327c91ab0c1f5310d3130dbac4fa64

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:07.805311Z digest=sha256:98bc9d1b33ffd434f124647816256d7a4587561bf097d35eeebe1da43ac62caa

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:c8df425a7fee444dc0ab562492f8259a194a84f13c9840de59f84e8293feff51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:07.949792Z digest=sha256:443ac28f13be9212607fcdde12694f3b6b789337465c77a5473b36de62a02b8c

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:b311ddfec8082ca1c278349aa9481f818469ecb3580ccc468549ebc30f3b773e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:08.100711Z digest=sha256:3be577c90eaeadc6ed5c6e4ab41b01fae652482ef0a387a238b613cf1f0fdfbb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:08.228370Z digest=sha256:f984730fd42860bdb4d210af26bee507083a1d4f52cb338ac1222aaa3fb0c248

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:08.323279Z digest=sha256:9033968f8aee2062500667ea69ec5ecc51d36bcc14794c663644f8793555be6d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:08.398237Z digest=sha256:53b6e5c7e95a2c1e0d1a890629cc1e1be528049f02022d398897cd0de941df34

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:50:08.435901Z digest=sha256:9946a86a9f66f5c4fd275e30d2631b22a06c7bbe14d8c110b3ced57048b8ee7c

Pith citing papers

No inbound Pith citation observations are available.