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Paper Citation Record · LEDGER

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results

As of 16 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 0 inbound Pith citation observations for arXiv:2505.12089.

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

pith.paper-citation-record.v1
2505.12089 v1

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measured 100 of 113 reference resolution

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100 of 113 outbound references displayed

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Outbound references

Observation 4d9af354-cb02-41ec-9fa5-af6985b9082c · outbound

This paper cites Ntire 2020 challenge on real image denoising: Dataset, methods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2020 challenge on real image denoising: Dataset, methods and results

Reference 1

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Observation b0bec66d-feb8-418e-aa88-e63d59cf5475 · outbound

This paper cites Ntire 2021 challenge on burst super-resolution: Methods and re- sults.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2021 challenge on burst super-resolution: Methods and re- sults

Reference 2

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Observation 90f2c822-d32d-4184-8493-3279aed6c1be · outbound

This paper cites Deep burst super-resolution.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Deep burst super-resolution

Reference 3

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Observation 1e3ca6f8-649c-43a6-b8a7-d25df2e72d58 · outbound

This paper cites Ntire 2022 burst super-resolution challenge.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2022 burst super-resolution challenge

Reference 4

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Observation ec29d884-4d1b-4803-ba34-ad91ccefb4d4 · outbound

This paper cites Self-supervised burst super- resolution.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Self-supervised burst super- resolution

Reference 5

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Observation 5c99ab96-974f-4210-90bd-04607e958291 · outbound

This paper cites Unprocessing im- ages for learned raw denoising.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Unprocessing im- ages for learned raw denoising

Reference 6

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Observation f8aea104-e688-4583-b3dd-d4f7be00be80 · outbound

This paper cites Bracketing image restoration and enhancement with high-low frequency decomposition.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Bracketing image restoration and enhancement with high-low frequency decomposition

Reference 7

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Observation 2c6b89a6-9f8e-42e9-ae24-fb4e0f9a577e · outbound

This paper cites Learning continuous exposure value representations for single-image hdr reconstruction.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Learning continuous exposure value representations for single-image hdr reconstruction

Reference 8

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Observation 9cd9f579-8b66-463a-b9c3-b4a51a75d840 · outbound

This paper cites Ntire 2024 challenge on image super-resolution (x4): Methods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2024 challenge on image super-resolution (x4): Methods and results

Reference 9

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Observation 6574aebe-7b0e-4ee4-9cd3-ed84ef3bf657 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on image super-resolution (×4): Methods and results

Reference 10

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Observation 6369ed78-3dd2-44a5-98a1-1500df53f51b · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on real-world face restoration: Methods and results

Reference 11

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Observation 2be4c4af-036d-4ca1-8527-78459df61b95 · outbound

This paper cites Rethinking coarse-to-fine approach in single image deblurring.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Rethinking coarse-to-fine approach in single image deblurring

Reference 12

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Observation 8741e59a-e5d3-43b4-880e-e7a4f73fd1bd · outbound

This paper cites Improving image restoration by revisiting global informa- tion aggregation.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Improving image restoration by revisiting global informa- tion aggregation

Reference 13

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Observation 18e8a9d0-ca23-4e34-a358-5abaeacca342 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on raw image restoration and super-resolution

Reference 14

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Observation f8390baf-4e0b-43db-b904-25369be9af9d · outbound

This paper cites Raw image reconstruc- tion from RGB on smartphones.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Raw image reconstruc- tion from RGB on smartphones

Reference 15

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Observation d3ecc7d4-c728-46a0-af06-5ff2e7019097 · outbound

This paper cites Efficient deep models for real-time 4k image super-resolution.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Efficient deep models for real-time 4k image super-resolution

Reference 16

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Observation 6bac45df-8367-49dd-b7ec-6a5c5abb1708 · outbound

This paper cites Deformable convolu- tional networks.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Deformable convolu- tional networks

Reference 17

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Observation d6a4ac65-0e5d-4e60-b370-d54b38215cae · outbound

This paper cites Learnable global spatio-temporal adaptive aggregation for bracketing im- age restoration and enhancement.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Learnable global spatio-temporal adaptive aggregation for bracketing im- age restoration and enhancement

Reference 18

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Observation cfc8d37b-d2e4-4b0f-860c-c52b2b23c3eb · outbound

This paper cites HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

Reference 19

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Observation c0fe6294-c9a9-4a64-a37f-1df1fdf062de · outbound

This paper cites Burst image restoration and enhancement.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Burst image restoration and enhancement

Reference 20

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Observation 2da32a1f-2c98-4732-b7bc-dcbfe6cf5454 · outbound

This paper cites Burstormer: Burst image restoration and enhancement transformer.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Burstormer: Burst image restoration and enhancement transformer

Reference 21

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Observation 2a938718-eb49-467b-a87b-bd4d350d1dc4 · outbound

This paper cites Hdr image reconstruction from a single exposure using deep cnns.ACM TOG, 2017.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Hdr image reconstruction from a single exposure using deep cnns.ACM TOG, 2017

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Observation 72ae490b-63b3-403f-b4fb-1a74ceb1bad7 · outbound

This paper cites NTIRE 2025 challenge on night photography rendering.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on night photography rendering

Reference 23

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Observation ddd64af4-3747-427b-993c-b52f8fa032fa · outbound

This paper cites Darkir: Robust low-light image restoration.arXiv preprint arXiv:2412.13443, 2024.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Darkir: Robust low-light image restoration.arXiv preprint arXiv:2412.13443, 2024

Reference 24

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Observation fcbc9db8-f2ef-412f-9a48-532a7377fc42 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results

Reference 25

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Observation 1ca9e066-b6fe-488d-8b6a-3b470da6d025 · outbound

This paper cites Deep burst denoising.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Deep burst denoising

Reference 26

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Observation 90dbe8bf-7e17-498b-b743-4944dc58c9c4 · outbound

This paper cites Toward convolutional blind denoising of real pho- tographs.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Toward convolutional blind denoising of real pho- tographs

Reference 27

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Observation bbcde653-61d2-47b4-a67a-939556dcd4bc · outbound

This paper cites A differentiable two-stage alignment scheme for burst im- age reconstruction with large shift.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results A differentiable two-stage alignment scheme for burst im- age reconstruction with large shift

Reference 28

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Observation 9963d549-b1e0-4e14-9e62-3c8c25c6ccaf · outbound

This paper cites NTIRE 2025 challenge on text to image generation model qual- ity assessment.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on text to image generation model qual- ity assessment

Reference 29

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Observation 32cc5578-2430-46c1-baa3-b38c71d48df3 · outbound

This paper cites Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM Transac- tions on Graphics (ToG), 35(6):1–12, 2016.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Burst photography for high dynamic range and low-light imaging on mobile cameras.ACM Transac- tions on Graphics (ToG), 35(6):1–12, 2016

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Observation f95f0120-ff97-43b6-bcfc-2102140a55c0 · outbound

This paper cites Drct: Saving image super-resolution away from informa- tion bottleneck.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Drct: Saving image super-resolution away from informa- tion bottleneck

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Observation d153c14f-b7c1-4a23-b4e8-29f4630949c2 · outbound

This paper cites Scope of va- lidity of psnr in image/video quality assessment.Electron- ics letters, 44(13):800–801, 2008.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Scope of va- lidity of psnr in image/video quality assessment.Electron- ics letters, 44(13):800–801, 2008

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Observation 11ed648e-701d-419f-b1e9-7bc6f9cc7383 · outbound

This paper cites Learned smartphone isp on mobile gpus with deep learning, mobile ai & aim 2022 challenge: report.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Learned smartphone isp on mobile gpus with deep learning, mobile ai & aim 2022 challenge: report

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Observation 7ca8c740-d22f-406a-b7e6-8234ad358bda · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on video quality enhancement for video conferencing: Datasets, methods and results

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Observation 970f4b9d-85cd-419b-9e40-0ff864d00213 · outbound

This paper cites When fast fourier transform meets transformer for image restoration.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results When fast fourier transform meets transformer for image restoration

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Observation 614e09f7-ed97-4f5a-a54e-a8c4a314de3f · outbound

This paper cites Temporal memory relation net- work for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Temporal memory relation net- work for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.832210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.287002Z digest=sha256:65b8375089adafdf15fcac42ba90fe99d801e510864fe77cf07a467345cb7383

Observation ca72a5a8-1db2-4ff3-8298-ded57c602e54 · outbound

This paper cites Burstm: Deep burst multi-scale sr using fourier space with optical flow.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Burstm: Deep burst multi-scale sr using fourier space with optical flow

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.815579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.292424Z digest=sha256:dc7c9702d8ba0b333b6247922c9fbc3cbcb3b662de7e89b53058d6c9199c414b

Observation cc5c88c5-abdc-4c7c-a541-5508e5c77659 · outbound

This paper cites Noise distribution adaptive self-supervised image denoising using tweedie distribution and score matching.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Noise distribution adaptive self-supervised image denoising using tweedie distribution and score matching

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.797120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.297858Z digest=sha256:f8db891cb90b15471630b94f027f281ec0e152e4bb526a38903f6ffa9f6f7daf

Observation c11d7fda-1154-499f-b4e0-82b1cb88dd09 · outbound

This paper cites High Dynamic Range and Super-Resolution from Raw Image Bursts.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results High Dynamic Range and Super-Resolution from Raw Image Bursts

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.303404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.303404Z digest=sha256:d37a33ee630390a9bcc66a46cf5fb5e936c7e2634564342633816361e038d24e

Observation d0e58f99-436e-4168-92e0-e9c56e4666da · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Photo-realistic single image super-resolution using a generative adversarial network

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.781114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.309396Z digest=sha256:26fc31ebe72d589f4df0bef4333852931e56e6e7bd65ab13b94e2d43e8bc762b

Observation 382cd9e5-a0ff-4315-a098-2af8147ac68d · outbound

This paper cites Deep recursive hdri: Inverse tone mapping using generative ad- versarial networks.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Deep recursive hdri: Inverse tone mapping using generative ad- versarial networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.766580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.314848Z digest=sha256:6ffbfbfb2b8d3bb1bb793621ae896a8b9ff5f869d4e74ce14c6de22c2e030ee4

Observation 422f8318-9edd-4d74-b839-754640616024 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.752163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.320245Z digest=sha256:3c983df3308c4688d02de5bb42bd3bff5ff6e281886ae8769ba5767fec3498e5

Observation ab923a97-2817-4d88-a961-1d2aca9c8f98 · outbound

This paper cites Efficient burst raw de- noising with variance stabilization and multi-frequency de- noising network.International Journal of Computer Vision, 130(8):2060–2080, 2022.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Efficient burst raw de- noising with variance stabilization and multi-frequency de- noising network.International Journal of Computer Vision, 130(8):2060–2080, 2022

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.738413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.326603Z digest=sha256:57136b32d834d03fe027d73a42506bcc864ff4c479f5c59ddc4300a6958fe406

Observation 7e4a5e11-49f9-48d6-809f-f47514c60e94 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results

Reference 44

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.332623Z digest=sha256:2a02e3f4ed478044fd208afcbb458046c2972cc54237f9f5f93084ddd38b6a71

Observation c5618f0c-2ca9-4523-bfc6-7a4cdc3f9f5a · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.712645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.339542Z digest=sha256:ad19f8995e78e2fa30b17dd1f35a6810d199667cf32db04352042cee8055e6b7

Observation 31654544-91f1-42ca-b933-30d3ee3024f5 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on short-form ugc video qual- ity assessment and enhancement: Methods and results

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.696389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.344810Z digest=sha256:614809c2c98ea0f49e262adfb932a24b2a7776da2f775750f2cc950005fbc3d9

Observation 3993095e-96a1-49b2-96f4-3b076238903b · outbound

This paper cites Ntire 2023 challenge on image denois- ing: Methods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2023 challenge on image denois- ing: Methods and results

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.680446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.350328Z digest=sha256:d0705edcf22e1e120ff6ecb00fcb79518d28cabb5db048a367b7e3dfd45e9edc

Observation 517b5e89-6640-4a77-97cc-2411f64844a6 · outbound

This paper cites Swinir: Image restoration using swin transformer.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Swinir: Image restoration using swin transformer

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.664894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.356393Z digest=sha256:18e638f99b5fe4cfcae836b9f0a6535c3390720c0922a559151a41449feac528

Observation 3e36ae5b-f901-4c87-99e6-28e426c43049 · outbound

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

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.361860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.361860Z digest=sha256:34584f7bb0c287a1a31abf6d8028b1d5e5eaf00405c38dfa195b72cb22d3d903

Observation b64cedf5-0351-49d2-ad21-4d985031d2ea · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Enhanced deep residual networks for sin- gle image super-resolution

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.638259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.366835Z digest=sha256:f17dcfaa3e2a6c47f83d75248a2255f6ea97ec9a45188c03ede993c430c837f1

Observation 0b02a761-4915-4d0a-b18e-dd50f24be88f · outbound

This paper cites Improving Image Restoration through Removing Degradations in Textual Representations.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Improving Image Restoration through Removing Degradations in Textual Representations

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.371687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.371687Z digest=sha256:1e649eceb0328cd5244f1fbdad840e1b43bbd8820bab4d2fad0eb503cbb4e73c

Observation ceb7fa2a-4e9d-49e6-b966-75d8768e2d1b · outbound

This paper cites Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.377549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.377549Z digest=sha256:2bba0580983919473fe1e6cda1eced7e466da2c91b3763ae837f8c3d74ec64fd

Observation 0f9832d7-988a-447b-b941-92bb90b7efa2 · outbound

This paper cites Learning raw image denoising with bayer pattern unification and bayer preserving aug- mentation.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Learning raw image denoising with bayer pattern unification and bayer preserving aug- mentation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.622250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.385404Z digest=sha256:ab4cb0bdb6eff65f85679d0a0e1dc567957ed794cd79cabce8fa70217fd75124

Observation 950cc052-31a0-45e4-94f5-e1a448e1edd3 · outbound

This paper cites Deep adaptive inference networks for single image super-resolution.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Deep adaptive inference networks for single image super-resolution

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.607321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.392143Z digest=sha256:81aa44a45405d914b238459f9eb682b035506d96adf63e70cb89235ca2c63a7a

Observation 7ea51ccd-d07a-4279-8396-04373ede51a3 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 XGC quality assessment challenge: Methods and results

Reference 55

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.398701Z digest=sha256:414544dc4ddc1950795465d622969041540c22947d3d356db26393694404f0e2

Observation dda15b83-6545-4390-8ef2-a2005e38cf69 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on low light image enhancement: Methods and results

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.406779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.406779Z digest=sha256:1291753d1b170a4d265fd2506a4cae2d7f1f1101e674c102ac7d6029cd040428

Observation 60f19a73-f0f6-485a-a511-8cfd280fef65 · outbound

This paper cites Single-image hdr reconstruction by learning to re- verse the camera pipeline.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Single-image hdr reconstruction by learning to re- verse the camera pipeline

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.570894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.414160Z digest=sha256:5e93f5f4a4997e1643afb812ad5dac36b0bd8542da77a47ed051c1bc6d5d2dad

Observation b32857c8-abae-4798-ad95-9d99c2680c9a · outbound

This paper cites A convnet for the 2020s.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results A convnet for the 2020s

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.556410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.421851Z digest=sha256:dcec17ded4ec694f6f941bfe813a45650b1c366dd9a2038154e11c2192d155da

Observation c023d77e-fd16-4c3d-a705-2872740eefc8 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Sgdr: Stochastic gradient descent with warm restarts

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.541498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.429529Z digest=sha256:a6b4dd90c241c858d7a1bef1a21caafccbcd5083c7b7ea2d0e0420c02c5cbde8

Observation 019da19e-c179-4c3f-9361-21e2d0aece0d · outbound

This paper cites Ebsr: Fea- ture enhanced burst super-resolution with deformable align- ment.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ebsr: Fea- ture enhanced burst super-resolution with deformable align- ment

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.526957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.437214Z digest=sha256:a631840986d9ac1941c83120955758c74aee92189d0bc40eaddba1b3dd525c01

Observation a98164fa-b2e3-4da7-8ce9-2c3902b10ae5 · outbound

This paper cites Bsrt: Improving burst super-resolution with swin trans- former and flow-guided deformable alignment.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Bsrt: Improving burst super-resolution with swin trans- former and flow-guided deformable alignment

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.511874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.443050Z digest=sha256:1cb0a8f71db5dd0a2778bc352f10ebef5177e545c8f6e588b144010174c2ea8a

Observation 0266f491-3031-471a-8dce-6f1097d1c11f · outbound

This paper cites Intriguing findings of frequency selection for image deblurring.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Intriguing findings of frequency selection for image deblurring

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.497286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.448338Z digest=sha256:bb1f886f72512af970d29c70efd2572a69c60ebe8bcb52246060dff376976291

Observation 6e658916-3407-4f35-95f1-4ce023f48497 · outbound

This paper cites Burst denois- ing with kernel prediction networks.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Burst denois- ing with kernel prediction networks

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.483481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.454412Z digest=sha256:f79490e34de1829297f698b2868302e549d4424fcd8611198ace5146536dabc6

Observation 66ab3d47-e36a-4022-90a3-57bf039be9ac · outbound

This paper cites An analy- sis and implementation of the hdr+ burst denoising method.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results An analy- sis and implementation of the hdr+ burst denoising method

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.469843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.460614Z digest=sha256:56cfaa3a5d7323f4d470632bbd52dbf5e050b84b3f4e915b6206ff4dbbeb2176

Observation bb5cbd28-07b5-4e48-bb8a-56a1e5ed1790 · outbound

This paper cites Deep multi-scale convolutional neural network for dynamic scene deblurring.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Deep multi-scale convolutional neural network for dynamic scene deblurring

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.454791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.465056Z digest=sha256:ea8def401eb9dbd334b80be1a8c192d6820fafaac46291504984d2a0b045ad8e

Observation ddfffb02-e737-4700-8eed-370b770afee9 · outbound

This paper cites Swiftbrush: One- step text-to-image diffusion model with variational score distillation.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Swiftbrush: One- step text-to-image diffusion model with variational score distillation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.439294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.470414Z digest=sha256:092c4f94cfee9b93abef61d5f98e4fc01722a1545ca2be3f9224d350448167d9

Observation 74e7a1ea-ba5f-4c82-8d26-22dfeb9bdfd1 · outbound

This paper cites Nan: Noise-aware nerfs for burst-denoising.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Nan: Noise-aware nerfs for burst-denoising

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.422078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.475038Z digest=sha256:d22fd2a4cc21f39059d0e5395b1795e874cb9fb0e361314987f6fa932e57a1a8

Observation 444fd071-5bad-4174-9130-158e991e1bdf · outbound

This paper cites Ntire 2021 challenge on high dynamic range imaging: Dataset, methods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2021 challenge on high dynamic range imaging: Dataset, methods and results

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.407183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.480992Z digest=sha256:cd24dc7f339f4fadabce92fd4fb3813f61afee6a6b1c75fb6164fdcdb0f41377

Observation 3c790569-10e9-4b7a-a6e2-3cba3f35ccd6 · outbound

This paper cites Recursive multi- exposure alignment with spatiotemporal decoupling for ef- ficient burst hdr and restoration.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Recursive multi- exposure alignment with spatiotemporal decoupling for ef- ficient burst hdr and restoration

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.392537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.486251Z digest=sha256:1f6fe9e2273c682ad874fee3175460c7db5cab1e4dc095ef92bcc066c361b16d

Observation 99c8a1e0-f98e-4d10-81a6-ecf852bd1c33 · outbound

This paper cites Optical flow estima- tion using a spatial pyramid network.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Optical flow estima- tion using a spatial pyramid network

Reference 70

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.491822Z digest=sha256:3f2b2787917ae81be8177cadf7ed23a4f2cf6ffe86ae5377118ba37f6e88c9ff

Observation 1dbf7287-8f41-42f6-989a-290f8738b7c1 · outbound

This paper cites The ninth ntire 2024 efficient super-resolution challenge report.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results The ninth ntire 2024 efficient super-resolution challenge report

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.496945Z digest=sha256:1b14ec53b3f9b129d75861d8c6af89cb4d57cb931df6e0de5eb41342cbc5c39e

Observation f1d73525-04e2-4742-91c7-c99b2d24af67 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results The tenth NTIRE 2025 efficient super-resolution challenge report

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Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.501552Z digest=sha256:76cd76c2e501630d66108528020470f8a54df0f518486e737c98da0884fcd472

Observation 0c985192-115f-4304-9e18-256fda8fdf7b · outbound

This paper cites Burst denoising via temporally shifted wavelet transforms.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Burst denoising via temporally shifted wavelet transforms

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.337330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.507060Z digest=sha256:54aa8edf611d3c85353632faaf86ce267415e92a71920c8414754587a480e7f2

Observation 18b252c1-0b85-4be2-a9e1-ddcbba52d269 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results U- net: Convolutional networks for biomedical image segmen- tation

Reference 74

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.512907Z digest=sha256:64ebbe387ce2fab04245f18ce9b9373557a1d6b67475d63fce07223849c88842

Observation c80ffc80-164c-402c-b0a3-a9bda448c325 · outbound

This paper cites NTIRE 2025 challenge on UGC video enhancement: Meth- ods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on UGC video enhancement: Meth- ods and results

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.518385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.518385Z digest=sha256:04782bfcfe7aa19112da2d6812a70d299640a28884a6425085be23ae8111530b

Observation 5db82bea-0294-493a-b342-3153c87b3386 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Generative modeling by estimating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.300261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.524462Z digest=sha256:934e4296ec116b250b09427ac847439e7b7fde5f04b6a745d2dc4368529bc089

Observation 5bd0e702-1b13-4f48-bae1-bcb0bca28157 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on event-based image deblurring: Methods and results

Reference 77

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.529170Z digest=sha256:f4d2d3ae88a26616218487382ac525f850848872db65aa7275f50a32304b09af

Observation c92ab602-abca-4f03-ac64-58980793132d · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results The tenth ntire 2025 image denoising challenge report

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Resolution
unresolved
no resolver link, observed 2026-08-15T20:44:51.534118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.534118Z digest=sha256:60a7fc74e277f36c6f5f535c722e7eedffa5ab3ef159c9652546d40373ecec37

Observation f7def097-556a-4ce9-9851-ca034066652d · outbound

This paper cites Ef- ficient view synthesis and 3d-based multi-frame denoising with multiplane feature representations.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ef- ficient view synthesis and 3d-based multi-frame denoising with multiplane feature representations

Reference 79

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.539904Z digest=sha256:c4786250417d21a50161d01367732ad23afcac358f2d0986df49f191db266dd3

Observation 99127659-77c0-48ee-83bb-1c80439b5e0e · outbound

This paper cites Scale-recurrent network for deep image deblurring.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Scale-recurrent network for deep image deblurring

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.250653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.545297Z digest=sha256:bab28e96f71f90c2e152cd417a9a173406cabf4ae2080b6c5359615d3da48aaa

Observation 9ba947ce-1102-4fbb-8792-79db60d7be6b · outbound

This paper cites NTIRE 2025 image shadow removal challenge report.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 image shadow removal challenge report

Reference 81

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.550523Z digest=sha256:3ef8493e4e285244f17af7255528e42a8232f25f452846ae33be4d444b5f73fd

Observation 09f17cfa-7028-4332-884e-25d8bb72dd56 · outbound

This paper cites NTIRE 2025 ambi- ent lighting normalization challenge.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 ambi- ent lighting normalization challenge

Reference 82

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.555997Z digest=sha256:c28e688097bc49f9c41a2787f9ba1ce3c23ba7038101d52592de8db3e9682529

Observation fea1ca08-1ff2-49b7-99d9-de01b23ac985 · outbound

This paper cites A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661– 1674, 2011.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results A connection between score matching and denoising autoencoders.Neural computation, 23(7):1661– 1674, 2011

Reference 83

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verified fuzzy
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:44:51.561687Z digest=sha256:ed6f0fa86fcb910a7cd5c70e77f6c6c1ad72acdd5acab239313ba5c22dca64a3

Observation 2237e5c4-5c53-49df-b087-9a4d8e211105 · outbound

This paper cites Ntire 2023 challenge on stereo image super-resolution: Methods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2023 challenge on stereo image super-resolution: Methods and results

Reference 84

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verified fuzzy
raw_fallback, observed 2026-08-15T20:44:53.199611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.567932Z digest=sha256:cfeeab1750cfcec63193ff50e965f1b7e9e9422665fa5e2f47a9996b78583c39

Observation 5590b008-893f-484b-8b7c-91fa268657aa · outbound

This paper cites Ntire 2023 challenge on light field image super-resolution: Dataset, methods and re- sults.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2023 challenge on light field image super-resolution: Dataset, methods and re- sults

Reference 85

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.573653Z digest=sha256:4e0eecae59834cd4b9f123c123f714bcb6de8be42330eb06a4ae452c9318f731

Observation 838a3794-91b6-4cc1-a72e-caac321efbfd · outbound

This paper cites Ntire 2024 challenge on light field image super-resolution: Methods and results.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Ntire 2024 challenge on light field image super-resolution: Methods and results

Reference 86

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.581327Z digest=sha256:ba97b83419e5a99d885a1ccc6ba08294811ee855ae5db03fce105ad16d4c9fb4

Observation 6a2893b6-c2a3-4782-95e5-4eb7af381b71 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on light field image super-resolution: Methods and results

Reference 87

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.590293Z digest=sha256:abecdfc18294f1d9013202b1239d49f90a01581fb04411911a5af3bcdea0d515

Observation 0b1d9b63-452c-4cf6-88fe-3a4c81fd5965 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Image quality assessment: from error visibility to structural similarity.IEEE transactions on image pro- cessing, 13(4):600–612, 2004

Reference 88

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.597141Z digest=sha256:ff4668aac25b46513805377bcd2d0684a29c9d9e0b6d64ab05168eb8922fe2a6

Observation 1b43d7cb-7775-4ce3-b420-da5a40959c20 · outbound

This paper cites To- wards real-world burst image super-resolution: Bench- mark and method.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results To- wards real-world burst image super-resolution: Bench- mark and method

Reference 89

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.604120Z digest=sha256:87b73d350c734967f3791dcf68bf4e6a05f542d0ac2bffa45e62df3ec5180c07

Observation 6116bf23-bc22-487c-996c-e551258cf049 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 90

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.610459Z digest=sha256:f5335912f8880f94efd9bbedcc132dbcd728c0f75c76ea24da525d61332ac83e

Observation 866c463c-737f-4b29-8d21-0c1917d851cb · outbound

This paper cites Handheld multi-frame super-resolution.ACM Transactions on Graphics (ToG), 38 (4):1–18, 2019.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Handheld multi-frame super-resolution.ACM Transactions on Graphics (ToG), 38 (4):1–18, 2019

Reference 91

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.615803Z digest=sha256:4e57fd2b66157a7441f8615ee453c853b863168e4e13290e3255be65af87ea67

Observation 381674e8-8a21-4350-953e-f66d427894d2 · outbound

This paper cites Basis prediction net- works for effective burst denoising with large kernels.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Basis prediction net- works for effective burst denoising with large kernels

Reference 92

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verified fuzzy
raw_fallback, observed 2026-08-15T20:44:52.923040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.621789Z digest=sha256:084bbd2669450d7f83566f463da4b0d6b6ece66e82036b9225c87a6501b053d7

Observation 6786fe19-5551-4bb1-aa81-ea14825990d7 · outbound

This paper cites High quality reference feature for two stage bracketing image restoration and enhancement.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results High quality reference feature for two stage bracketing image restoration and enhancement

Reference 93

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verified fuzzy
raw_fallback, observed 2026-08-15T20:44:52.766675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.626395Z digest=sha256:7f200195c65552a609742b6ff70f7f6022e0751bdd94b043ab48eb905ad5aaa2

Observation d63e17fc-4d84-427b-b1b7-49c465a6f2db · outbound

This paper cites Crnet: A detail-preserving network for unified im- age restoration and enhancement task.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Crnet: A detail-preserving network for unified im- age restoration and enhancement task

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-15T20:44:52.750259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.631807Z digest=sha256:6bcae18bedde8c5445a51e8234a1463f90e4c793a5a3cdbf00660d84ffcc86f0

Observation e63397d2-643d-4ebb-809c-0da34ba9b51f · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results

Reference 95

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.638171Z digest=sha256:ef66d802e56c505f693bc0211ce518d0a0cf1794493c5f9c50e39ec581413cf8

Observation 891da1e5-7bc8-44a0-b2c1-970a97ba9249 · outbound

This paper cites Metaformer is actually what you need for vision.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Metaformer is actually what you need for vision

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:52.711030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.644749Z digest=sha256:bf658054a3f38ba27c2ab98e45c9efdb6bf399e76ee20dbf17bcdcda88e65fd0

Observation 2e1d8ade-b308-4fb7-8702-64781efee1b0 · outbound

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

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces

Reference 97

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unresolved
no resolver link, observed 2026-08-15T20:44:51.649099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.649099Z digest=sha256:3eb0eed05b3f79e61d0ee09deb282b0be2cf2ab656bee96be67000b9d7bea252

Observation 6c32baac-06b3-45a5-8784-252e1b3cc620 · outbound

This paper cites See more details: Efficient image super- resolution by experts mining.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results See more details: Efficient image super- resolution by experts mining

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:52.579286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.653413Z digest=sha256:e44d3db398df88d73cc1cb4f418f81a3f6fa8d8ef4d6a308ae7c7dabbcff5014

Observation a3bdc741-03a7-4fee-abc8-2ca6e1944054 · outbound

This paper cites Cycleisp: Real image restoration via improved data synthesis.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Cycleisp: Real image restoration via improved data synthesis

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:44:52.480638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:44:51.658131Z digest=sha256:ad2e1504d0ba28b931ba535dceb870219117926b2dbf58b5bfcc0b9af42dc6d0

Observation 0b09e429-9dd5-4fe2-8cbf-c898c8fb5ac3 · outbound

This paper cites Multi-stage progressive image restoration.

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results Multi-stage progressive image restoration

Reference 100

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:44:51.663505Z digest=sha256:e4018f1137aeb2ab70f96b0aabf837d6c14155cd130ea83af2232cab9f1fcf81

Pith citing papers

No inbound Pith citation observations are available.