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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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  • verified fuzzy47
  • unresolved5
  • parse uncertain0
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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:50:04.356673Z digest=sha256:0457eec085b6ef77f5c2f0804aa2a67b06a35f7583374b23f5c33c89dc3bcb82

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

source=pdf_text observed=2026-08-07T11:50:04.455455Z digest=sha256:2b5544659d3fe5c5ad211a8d4a9ff6a70ed5b7c0b5538bdaf2f9d025113b0381

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

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

source=pdf_text observed=2026-08-07T11:50:04.589500Z digest=sha256:eaeb2e637643809ee57136e94d5b8d042cb206d3f0cb56dd97d4a7b66be34be4

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

source=pdf_text observed=2026-08-07T11:50:04.652819Z digest=sha256:23f3f096d8b568102d7763e084b9e4fc4992f5c9797b7ff106c7ce53c6e03b2f

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

source=pdf_text observed=2026-08-07T11:50:04.731725Z digest=sha256:8e1d7e4ffe5ca1d0b6cc27140216d1f4d0f182560974570d6ee5550173193996

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
raw_fallback, observed 2026-08-07T11:50:12.317716Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:50:04.788226Z digest=sha256:66a51fa0aab0b08e4a71c629d769e30a27cab59ce4e7335ea74ca28ba6641957

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

source=pdf_text observed=2026-08-07T11:50:04.829504Z digest=sha256:f5e949e0f38f9bb57306ee2e5dbfbda7c82c9bf4e4df2304a830dead0a946120

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

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

source=pdf_text observed=2026-08-07T11:50:04.863042Z digest=sha256:522d2d2466ea3d9bd1d2e5f988ef85915c0a58755d8f34e6d984b71b50809f2c

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

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:50:04.899146Z digest=sha256:db76d1c5027f7db263956689efdd0415c1b5f4fe34e58eea3ec9dc01d71f830d

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

source=pdf_text observed=2026-08-07T11:50:04.936689Z digest=sha256:642c4c6c54d1e317c6f7bc64f962f371262548b21cd384dec2c16ce7af495e9b

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

source=pdf_text observed=2026-08-07T11:50:04.993051Z digest=sha256:2e76aa6c1c6250445de6bef3535a06d766fb919798d7407ef30e127500f01c70

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

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Source-reported events for the cited work

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

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Observation 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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Source-reported events for the cited work

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

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

source=pdf_text observed=2026-08-07T11:50:05.142640Z digest=sha256:7e00e552f779acd5d3899b2ddcc7d01747f14c27b435772f3f11949d9d986d22

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

Resolution
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:50:05.186925Z digest=sha256:c5ec60691cf6717a05e784dac82a475da3b858dbf843f486e0c5f654fa258099

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
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:50:05.230040Z digest=sha256:7127420d007a51483dda40ee7c0ecc31f92edd1be1cf5d8d4aa6d4e1f02c11cd

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

source=pdf_text observed=2026-08-07T11:50:05.352651Z digest=sha256:97a2a5cf6a43d4ec546cbcab6b46ce84c58e9e7567e6686ef9e5889fdb3a21b6

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

source=pdf_text observed=2026-08-07T11:50:05.409426Z digest=sha256:fc14893fcd6d7472af91ce862005412be71ab2febef3b8bc47e1e33910e86626

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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verified fuzzy
raw_fallback, observed 2026-08-07T11:50:10.796919Z

Source-reported events for the cited work

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

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Observation 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 2026-08-07T06:34:17.273281+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
raw_fallback, observed 2026-08-07T11:50:10.694130Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T11:50:05.733379Z digest=sha256:0c0aa4ba5563f8f3185b27d3a481c9e9e5886c4ab4bc1346d208647361185812

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

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

source=pdf_text observed=2026-08-07T11:50:05.834443Z digest=sha256:fc193adcb28c59d79ab99657bf8db57bcc443d6a2f97aa571707e5146c688fbe

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

source=pdf_text observed=2026-08-07T11:50:05.959938Z digest=sha256:f1343cd1ad48d539347e67b5b6dacbcb33a0e25d823f3bae5ad107eca5c28253

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

source=pdf_text observed=2026-08-07T11:50:06.047289Z digest=sha256:7be440784365293fd941eaeb8d93db2c04e6ba4c95557a90f97c1c298faac01b

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

source=pdf_text observed=2026-08-07T11:50:06.104610Z digest=sha256:526988e8374eaf977ed2e709cddbffbf333ee4556af07dbf1f77d31dce06495c

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

source=pdf_text observed=2026-08-07T11:50:06.274172Z digest=sha256:4dcd3315127a1260c62def16f85cb6ebebe14707dd9ad2e7543e992effd14f24

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

source=pdf_text observed=2026-08-07T11:50:06.383209Z digest=sha256:ee210dfb0fa37b43a53303d82487eadf88935b79c949e1969db8d53b81b28ad4

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

source=pdf_text observed=2026-08-07T11:50:06.458137Z digest=sha256:3ac8e4d82d8ee034fbefd057b0a7222022c6f2e2082e948f2a132cde667a9261

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

source=pdf_text observed=2026-08-07T11:50:06.635246Z digest=sha256:d0034e128f10d6e20d22e91850105ccced98c0a2588cd80fc9e5b3d0f96da877

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

source=pdf_text observed=2026-08-07T11:50:06.715999Z digest=sha256:3440a921586e75c9e48e80346fc77db26907b6f83e239af16c16535fe1fd3af4

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

source=pdf_text observed=2026-08-07T11:50:06.791100Z digest=sha256:70d17d0676d0055787cd1263bd6eb5a32f640b55e071b3ca43c784ae84b4b4e3

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

source=pdf_text observed=2026-08-07T11:50:06.859333Z digest=sha256:e35310df627834bd5a8e5648a4029c184d8ea544b25a22edda2dd597786df198

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

source=pdf_text observed=2026-08-07T11:50:06.953373Z digest=sha256:563d7888146445bb641b2d1a865ee5ac14036bb50cc1af140733821229f36d7f

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

source=pdf_text observed=2026-08-07T11:50:07.190878Z digest=sha256:8c87efd2bd963641f38a63c522a76ac767eb2bfb37be43c6e10460c4e4153d9a

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

source=pdf_text observed=2026-08-07T11:50:07.474750Z digest=sha256:100eb4ef8d48bb7f224eb47e2ad852f866aaac63c5fbb6dce64c63da45d967fb

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

source=pdf_text observed=2026-08-07T11:50:07.805311Z digest=sha256:6e676d6bf0065f7a45e5d191537ed8ada2a566d5c52c5adf04dc82af7c5b6444

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

source=pdf_text observed=2026-08-07T11:50:07.949792Z digest=sha256:f3c8dd4e3f5945ab6a05433911ad60b1ce39839372a0337ceb6b18e26a7112ca

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

source=pdf_text observed=2026-08-07T11:50:08.100711Z digest=sha256:eb49f0c134375db41b2016e3235b208d246b43d87b2a70431d915401b766aa4d

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

source=pdf_text observed=2026-08-07T11:50:08.228370Z digest=sha256:99149350930ada73b2ac7b5e3ad50946072ae8e8a86914620688ce54cc1b6cf7

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

source=pdf_text observed=2026-08-07T11:50:08.323279Z digest=sha256:87dccb63104b24b9a964a17c0b30912cb28d5234961be579b81b232b4b21dc55

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

source=pdf_text observed=2026-08-07T11:50:08.398237Z digest=sha256:85528f7c330b6fa68a913289e254c99dd5cca9baec7fbff815e663816102c5d0

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

source=pdf_text observed=2026-08-07T11:50:08.435901Z digest=sha256:6595180f36b48db4c4c186fb656b5ec1397c50d0c16506a96cf6be6e2e346649

Pith citing papers

No inbound Pith citation observations are available.