Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:07:12.415174Z
Paper Citation Record · LEDGER
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results
As of 18 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2505.03007.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
68 of 68 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6215683c-d0c8-4c17-b9b5-afebd5ad9c49 · outbound
This paper cites https://www.pexels.com.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results https://www.pexels.com
Reference 1
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Observation f38d3aa0-55f9-41db-8de5-ea949cc37052 · outbound
This paper cites Quality assessment of enhanced videos guided by aesthetics and technical quality attributes.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Quality assessment of enhanced videos guided by aesthetics and technical quality attributes
Reference 2
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Observation 02e265d6-a1b6-473a-9f2a-0aacbbbe55e7 · outbound
This paper cites Rank analysis of incomplete block designs: I.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Rank analysis of incomplete block designs: I
Reference 3
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Source-reported events for the cited work
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Observation e5ae24f4-15b3-4c60-93bc-86b2fe2ceed0 · outbound
This paper cites Learning photographic global tonal adjustment with a database of input / output image pairs.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Learning photographic global tonal adjustment with a database of input / output image pairs
Reference 4
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Observation 1a6a49c0-cf51-45e0-b13a-031bf2030d59 · outbound
This paper cites Basicvsr++: Improving video super- resolution with enhanced propagation and alignment.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Basicvsr++: Improving video super- resolution with enhanced propagation and alignment
Reference 5
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Observation 867da748-0ec6-469c-8cbd-744352295007 · outbound
This paper cites Simple baselines for image restoration.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Simple baselines for image restoration
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 4418b549-581e-4919-a084-dcecba67e2f9 · outbound
This paper cites NTIRE 2025 challenge on image super-resolution (×4): Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on image super-resolution (×4): Methods and results
Reference 7
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Source-reported events for the cited work
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Observation f13c98cc-6bde-45a9-b352-239c05598b33 · outbound
This paper cites NTIRE 2025 challenge on real-world face restoration: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on real-world face restoration: Methods and results
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 728a7209-0976-4a2e-bda8-8e273b5ae91a · outbound
This paper cites NTIRE 2025 challenge on raw image restoration and super-resolution.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on raw image restoration and super-resolution
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation aec9810c-1055-4ef2-b070-8cb28cbec19e · outbound
This paper cites Raw image reconstruc- tion from RGB on smartphones.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Raw image reconstruc- tion from RGB on smartphones
Reference 10
- Resolution
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Source-reported events for the cited work
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Observation ab181fac-71d3-4554-a739-fa5cebaa8b98 · outbound
This paper cites Spatio-temporal deformable convolution for compressed video quality enhancement.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Spatio-temporal deformable convolution for compressed video quality enhancement
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation 3bd90297-a9ca-43a5-841f-c02c18670f39 · outbound
This paper cites NTIRE 2025 challenge on night photography rendering.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on night photography rendering
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation 9af4a764-bef4-495d-8163-3539619ee29a · outbound
This paper cites NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 597ea1cb-ace6-4bc6-9ce6-cd813079e8b7 · outbound
This paper cites Vdpve: Vqa dataset for perceptual video enhancement.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Vdpve: Vqa dataset for perceptual video enhancement
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 02a6f216-f176-4ff6-bae2-a06b21a57ae8 · outbound
This paper cites Automatic color enhancement (ace) and its fast implementation.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Automatic color enhancement (ace) and its fast implementation
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation 6a6c4f9c-b561-465f-ac5e-b82b8c1d2326 · outbound
This paper cites Mfqe 2.0: A new approach for multi-frame quality enhancement on compressed video.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Mfqe 2.0: A new approach for multi-frame quality enhancement on compressed video
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 64f4f231-ccdd-4886-b345-e40314512afa · outbound
This paper cites Minimum mean brightness error contrast enhancement of color images us- ing adaptive gamma correction with color preserving frame- work.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Minimum mean brightness error contrast enhancement of color images us- ing adaptive gamma correction with color preserving frame- work
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 78d16f3c-5030-45af-968d-83077a6fd782 · outbound
This paper cites NTIRE 2025 challenge on text to image generation model quality assess- ment.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on text to image generation model quality assess- ment
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation cbad8976-96c2-4552-b81d-0eb4058fa599 · outbound
This paper cites Space-time-aware multi-resolution video enhance- ment.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Space-time-aware multi-resolution video enhance- ment
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 6684c166-499e-48eb-ac64-d8f2ab31dd3e · outbound
This paper cites A recurrent video quality enhancement framework with multi-granularity frame-fusion and frame difference based attention.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results A recurrent video quality enhancement framework with multi-granularity frame-fusion and frame difference based attention
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 2f65e6b0-b9b4-4fa8-a864-3b92e08cd8b4 · outbound
This paper cites NTIRE 2025 challenge on video quality enhancement for video con- ferencing: Datasets, methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on video quality enhancement for video con- ferencing: Datasets, methods and results
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f015f30-f3c0-4a9b-9974-654019af6d7c · outbound
This paper cites A style-based generator architecture for generative adversarial networks.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results A style-based generator architecture for generative adversarial networks
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation c9a4c2a0-022c-41bc-8fae-f8a42f1a4ee9 · outbound
This paper cites Deblurgan: Blind motion deblurring using conditional adversarial networks.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Deblurgan: Blind motion deblurring using conditional adversarial networks
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 3446607c-3686-47a2-91ff-2a59cd1a7798 · outbound
This paper cites NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4628b434-1206-447f-baab-0c5e0ce0257b · outbound
This paper cites Self-supervised blind motion deblurring with deep expectation maximiza- tion.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Self-supervised blind motion deblurring with deep expectation maximiza- tion
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 23f36c19-2632-4462-83dd-0f43ec9fec58 · outbound
This paper cites NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation d3f6a904-a46e-4fb3-a1d0-bf60ceab6e50 · outbound
This paper cites NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b064684f-a83a-49ba-b8cd-6d7ff094a9d1 · outbound
This paper cites NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation 92981c3d-2fac-4014-8bdb-b8753b34a1f7 · outbound
This paper cites Swinir: Image restoration us- ing swin transformer.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Swinir: Image restoration us- ing swin transformer
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 476ef403-0477-4d5f-9d49-351d04e7354e · outbound
This paper cites NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation 697eb6e6-d5fa-4371-9c6a-e606958a7c86 · outbound
This paper cites Motion-adaptive separable collaborative filters for blind motion deblurring.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Motion-adaptive separable collaborative filters for blind motion deblurring
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 6f62ef15-f01e-4718-bd39-3535409029f4 · outbound
This paper cites Video super-resolution based on deep learning: a compre- hensive survey.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Video super-resolution based on deep learning: a compre- hensive survey
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 465a5c06-6413-47ce-908e-8a9068aa21c7 · outbound
This paper cites Robust multi-frame super-resolution based on spatially weighted half-quadratic estimation and adaptive btv regular- ization.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Robust multi-frame super-resolution based on spatially weighted half-quadratic estimation and adaptive btv regular- ization
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation a0499113-8c50-4c59-85b8-1ccac009f9a7 · outbound
This paper cites End-to-end trainable video super-resolution based on a new mechanism for implicit motion estimation and compensation.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results End-to-end trainable video super-resolution based on a new mechanism for implicit motion estimation and compensation
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 59e1b722-71e6-4260-8682-010ae813c450 · outbound
This paper cites NTIRE 2025 XGC quality assessment chal- lenge: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 XGC quality assessment chal- lenge: Methods and results
Reference 35
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Observation 888c5ab8-9097-47b6-a1f9-cbe40b777480 · outbound
This paper cites NTIRE 2025 challenge on low light image enhancement: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on low light image enhancement: Methods and results
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 937ef4dd-b844-4edd-8115-c7ce4c797c34 · outbound
This paper cites Deep kalman filtering network for video compression artifact reduction.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Deep kalman filtering network for video compression artifact reduction
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation a012ac70-7192-4257-9e60-9a60953d44d5 · outbound
This paper cites Mbllen: Low-light image/video enhancement using cnns.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Mbllen: Low-light image/video enhancement using cnns
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation 56727ad3-32cf-4cb2-ab7f-89b7c6161fda · outbound
This paper cites Ntire 2021 challenge on image deblurring.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Ntire 2021 challenge on image deblurring
Reference 39
- Resolution
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- raw_fallback, observed 2026-08-16T00:07:13.496759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation eb8ef706-b12c-4b38-b78a-a2226438575a · outbound
This paper cites Optical Flow Estimation using a Spatial Pyramid Network.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Optical Flow Estimation using a Spatial Pyramid Network
Reference 40
- Resolution
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Source-reported events for the cited work
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Observation dd522980-0367-4ba4-b888-83bae0f2428d · outbound
This paper cites The tenth NTIRE 2025 efficient super- resolution challenge report.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results The tenth NTIRE 2025 efficient super- resolution challenge report
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae8c1d14-3d6d-4bdf-b067-9f14b9d77e2e · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results High-resolution image synthesis with latent diffusion models
Reference 42
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09f8b12d-8c1a-4f1e-9e84-4ef7e7ba1cb7 · outbound
This paper cites NTIRE 2025 challenge on event-based image deblurring: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on event-based image deblurring: Methods and results
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b13dd73e-49c4-493d-bb86-667b04bcac0a · outbound
This paper cites The tenth ntire 2025 image denoising challenge report.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results The tenth ntire 2025 image denoising challenge report
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd34df6f-1ad4-44e2-b57c-ca68ee7708fe · outbound
This paper cites NTIRE 2025 image shadow removal challenge report.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 image shadow removal challenge report
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation b5aaabd2-bab7-41c5-b312-d9cc968739ee · outbound
This paper cites NTIRE 2025 ambi- ent lighting normalization challenge.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 ambi- ent lighting normalization challenge
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation 6b8708e0-420c-485a-a9b3-dd57a16bcefe · outbound
This paper cites A new hdr video reconstruction benchmark, dataset and metric.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results A new hdr video reconstruction benchmark, dataset and metric
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.325396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 97e75f24-c79f-423c-940b-b1ab6671f23e · outbound
This paper cites Brightness preserving his- togram equalization with maximum entropy: a variational perspective.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Brightness preserving his- togram equalization with maximum entropy: a variational perspective
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.294226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2f1bfe70-4026-4efd-adcd-ade8b5eb4034 · outbound
This paper cites Multi-level wavelet-based generative adver- sarial network for perceptual quality enhancement of com- pressed video.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Multi-level wavelet-based generative adver- sarial network for perceptual quality enhancement of com- pressed video
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.267697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 09214bac-514d-4ea5-9537-310ca074af0b · outbound
This paper cites A novel deep learning-based method of improving coding efficiency from the decoder-end for hevc.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results A novel deep learning-based method of improving coding efficiency from the decoder-end for hevc
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.239970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7a26f998-75aa-406c-bd16-8dba5cd834c7 · outbound
This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.189978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2e054322-6eb0-4761-a06a-d7dd7ca94c90 · outbound
This paper cites Esrgan: Enhanced super-resolution generative adversarial networks.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Esrgan: Enhanced super-resolution generative adversarial networks
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.154903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab124b43-3b84-46f9-8e68-6fc7c8bd71ae · outbound
This paper cites NTIRE 2025 challenge on light field image super-resolution: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on light field image super-resolution: Methods and results
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:07:12.255957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff719c60-fb23-472f-bf00-d439273127bb · outbound
This paper cites One-step effective diffusion network for real-world image super-resolution.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results One-step effective diffusion network for real-world image super-resolution
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.097734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cb3a6ba5-aaf6-4edc-9db4-70fc79686f4c · outbound
This paper cites Non-local convlstm for video compression artifact re- duction.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Non-local convlstm for video compression artifact re- duction
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:13.045292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e93adae-7b8c-43c2-9490-56af8d60882a · outbound
This paper cites NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:07:12.276114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6454e9d-445e-46e4-9597-381265fb6e28 · outbound
This paper cites Ntire 2021 challenge on quality enhancement of compressed video: Dataset and study.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Ntire 2021 challenge on quality enhancement of compressed video: Dataset and study
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.983890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f213b6da-cd4a-4655-a0d0-805c1e176325 · outbound
This paper cites Ntire 2021 challenge on quality enhancement of compressed video: Methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Ntire 2021 challenge on quality enhancement of compressed video: Methods and results
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.961213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dddce644-5d43-4c0d-8b42-af3d3d19abda · outbound
This paper cites Decoder-side hevc quality enhancement with scalable convolutional neural net- work.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Decoder-side hevc quality enhancement with scalable convolutional neural net- work
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.931890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3aa088eb-4ee4-4f06-b70e-29dab5c5e16b · outbound
This paper cites Enhancing quality for hevc compressed videos.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Enhancing quality for hevc compressed videos
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.870603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10ad379c-3d04-46de-8bf2-c518709c1595 · outbound
This paper cites Quality-gated convolutional lstm for enhancing compressed video.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Quality-gated convolutional lstm for enhancing compressed video
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.800218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dd28332a-a6cd-479a-9b47-d69b7372c0fc · outbound
This paper cites Learning for video compression with hierarchical quality and recurrent enhancement.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Learning for video compression with hierarchical quality and recurrent enhancement
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.733576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a1c65ecf-d0ac-4469-9f0e-b70c54f7c0d4 · outbound
This paper cites AIM 2022 challenge on super-resolution of compressed image and video: Dataset, methods and results.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results AIM 2022 challenge on super-resolution of compressed image and video: Dataset, methods and results
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.702695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c3373107-db60-42f3-9c99-ba270485fa27 · outbound
This paper cites NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:07:12.353821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60a8f954-f593-48e6-bcb3-0b83d84f6a75 · outbound
This paper cites Learning image-adaptive 3d lookup tables for high perfor- mance photo enhancement in real-time.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Learning image-adaptive 3d lookup tables for high perfor- mance photo enhancement in real-time
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.644697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7fe3a2fb-a454-4f21-808b-26f17cbd8a77 · outbound
This paper cites Clut-net: Learning adaptively compressed representations of 3dluts for lightweight image enhancement.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Clut-net: Learning adaptively compressed representations of 3dluts for lightweight image enhancement
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.606019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 985f8bdb-6219-475f-a159-6a99f46ef64c · outbound
This paper cites Deep color consistent network for low-light image enhancement.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Deep color consistent network for low-light image enhancement
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.565347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1a9e6952-9e94-42ed-ae3c-4ecd5e2a39e0 · outbound
This paper cites Semantic-guided zero-shot learning for low-light image/video enhancement.
NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results Semantic-guided zero-shot learning for low-light image/video enhancement
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:07:12.531646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
No inbound Pith citation observations are available.