Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:41:19.156160Z
Paper Citation Record · LEDGER
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results
As of 5 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2509.06413.
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 2026-08-05T06:32:48.257954+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
57 of 57 outbound references displayed
- verified exact0
- verified fuzzy55
- unresolved2
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4f39d5d0-db02-4b63-8fdf-39c68411fac3 · outbound
This paper cites NTIRE 2017 Chal- lenge on Single Image Super-Resolution: Dataset and Study.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results NTIRE 2017 Chal- lenge on Single Image Super-Resolution: Dataset and Study
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:20.035646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0364ce0a-8d21-4a8b-889f-62fdd25d0091 · outbound
This paper cites VQualA 2025 Chal- lenge on GenAI-Bench AIGC Video Quality Assessment: Methods and Results.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results VQualA 2025 Chal- lenge on GenAI-Bench AIGC Video Quality Assessment: Methods and Results
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:20.020975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 22b1f9ea-8817-4b3b-84b3-95a4acdafe7c · outbound
This paper cites Second-Order Attention Network for Single Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Second-Order Attention Network for Single Image Super-Resolution
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:20.004006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0808c686-29f5-434b-85eb-8910f84bb3b0 · outbound
This paper cites Implicit Diffusion Models for Contin- uous Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Implicit Diffusion Models for Contin- uous Super-Resolution
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.987803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7619c4fa-fd01-4273-a767-128b10c3909a · outbound
This paper cites A deep convolutional network for medical image super- resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results A deep convolutional network for medical image super- resolution
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.970318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa8b2128-24ec-4b7e-a894-33c161933fdd · outbound
This paper cites VQualA 2025 Document Image Quality Assessment Challenge.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results VQualA 2025 Document Image Quality Assessment Challenge
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.955509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0951c384-cf41-49d7-9ea3-33b81e5e1a60 · outbound
This paper cites Single Image Super- Resolution Quality Assessment: A Real-World Dataset, Sub- jective Studies, and an Objective Metric.IEEE Transactions on Image Processing, 31:2279–2294, 2022.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Single Image Super- Resolution Quality Assessment: A Real-World Dataset, Sub- jective Studies, and an Objective Metric.IEEE Transactions on Image Processing, 31:2279–2294, 2022
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.941360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5edcd1e-2596-4dae-afda-518eee07b68a · outbound
This paper cites Deeply-Recursive Convolutional Network for Image Super- Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Deeply-Recursive Convolutional Network for Image Super- Resolution
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.926741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0d52efb0-19f2-4a6a-b3d7-f550d3c424a8 · outbound
This paper cites Ac- curate Image Super-Resolution Using Very Deep Convolu- tional Networks.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Ac- curate Image Super-Resolution Using Very Deep Convolu- tional Networks
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.910250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7c1d44ac-9bab-4e8c-afc2-91ae54920ecc · outbound
This paper cites Photo- Realistic Single Image Super-Resolution Using a Generative Adversarial Network.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Photo- Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.896161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 758c32a5-70b1-4ce0-8a7d-c27a8fb31856 · outbound
This paper cites SeD: Semantic-Aware Discriminator for Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SeD: Semantic-Aware Discriminator for Image Super-Resolution
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.881685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 785a8d38-e4ad-443c-a9e6-4e163224e2ba · outbound
This paper cites VQualA 2025 Challenge on Engage- ment Prediction for Short Videos: Methods and Results.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results VQualA 2025 Challenge on Engage- ment Prediction for Short Videos: Methods and Results
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.866817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9be5d1ed-bfd4-4ef0-9cc5-36e60c41aed8 · outbound
This paper cites SRDiff: Single image super-resolution with diffusion probabilistic models.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SRDiff: Single image super-resolution with diffusion probabilistic models
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.852236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 858baf24-f0b1-452d-9817-bf55d3f2100a · outbound
This paper cites Hybrid Vision Transformer and Convolutional Neural Network for Super- Resolution Image Quality Assessment.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Hybrid Vision Transformer and Convolutional Neural Network for Super- Resolution Image Quality Assessment
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.838518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4d0c3a80-6956-48b0-8069-294b89bdde23 · outbound
This paper cites DifIISR: A Diffusion Model with Gradient Guidance for Infrared Im- age Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results DifIISR: A Diffusion Model with Gradient Guidance for Infrared Im- age Super-Resolution
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.825002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b2ee5d0-8a42-46f3-b340-6538697d914f · outbound
This paper cites Deep bi-directional attention network for image super- resolution quality assessment.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Deep bi-directional attention network for image super- resolution quality assessment
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.808939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5aa8726-f6ca-4547-88fb-4f7207fe904d · outbound
This paper cites VQualA 2025 Challenge on Image Super-Resolution Generated Con- tent Quality Assessment: Methods and Results.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results VQualA 2025 Challenge on Image Super-Resolution Generated Con- tent Quality Assessment: Methods and Results
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.792550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1fe36242-49b8-4584-9c2f-0aef16b9578b · outbound
This paper cites SwinIR: Image Restoration Using Swin Transformer.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SwinIR: Image Restoration Using Swin Transformer
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.778607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0bce46d5-1c46-4cc6-bf09-63d08a89f9a0 · outbound
This paper cites Enhanced Deep Residual Networks for Single Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Enhanced Deep Residual Networks for Single Image Super-Resolution
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.763553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 817448ff-e2aa-4456-8f25-81dd9dd62d8a · outbound
This paper cites CD- Former: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results CD- Former: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.747652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7183a83-64e8-4890-a884-20e86687b9b6 · outbound
This paper cites SGDR: Stochastic Gra- dient Descent with Warm Restarts.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SGDR: Stochastic Gra- dient Descent with Warm Restarts
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.733144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 884266d6-a727-4ba5-b26c-429d52d8fed7 · outbound
This paper cites Decoupled Weight De- cay Regularization.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Decoupled Weight De- cay Regularization
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.719661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 33fe13bc-98b8-480d-9331-b3e44372396a · outbound
This paper cites Learning a no-reference quality metric for single-image super-resolution.Computer Vision and Image Understanding, 158:1–16, 2017.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Learning a no-reference quality metric for single-image super-resolution.Computer Vision and Image Understanding, 158:1–16, 2017
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.705355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 075ee2ef-c997-420f-bf13-57f622c21e1d · outbound
This paper cites VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.690466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4eefa9f2-d7a7-4911-87eb-453314213bc7 · outbound
This paper cites Dynamic Attention- Guided Diffusion for Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Dynamic Attention- Guided Diffusion for Image Super-Resolution
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.677033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38200a63-fd58-46d4-bd5d-ae2c3858934d · outbound
This paper cites Image Super- Resolution via Iterative Refinement.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4713– 4726, 2022.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Image Super- Resolution via Iterative Refinement.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(4):4713– 4726, 2022
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.663246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 46e359c5-3ea1-4ba9-819c-61a722e24f5e · outbound
This paper cites Ultra-High- Resolution Image Quality Assessment.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Ultra-High- Resolution Image Quality Assessment
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.649049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 33cee9ff-8994-4ac1-b547-609f4aecbbe1 · outbound
This paper cites MDID: A multi- ply distorted image database for image quality assessment.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results MDID: A multi- ply distorted image database for image quality assessment
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.635300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 852484bc-6e34-4d3f-a7d8-b140a92f8650 · outbound
This paper cites BLIP-2 Assisted Residual- Guided Quality Assessment for Super-Resolution Images.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results BLIP-2 Assisted Residual- Guided Quality Assessment for Super-Resolution Images
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.620212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 01011e81-df33-45a4-8bf7-5a30d7d4a154 · outbound
This paper cites Boost- ing Flow-based Generative Super-Resolution Models via Learned Prior.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Boost- ing Flow-based Generative Super-Resolution Models via Learned Prior
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.605759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 81eeb5ac-25cd-4340-9e0c-926b2dfa4bbe · outbound
This paper cites SigLIP 2: Multilingual Vision- Language Encoders with Improved Semantic Understanding, Localization, and Dense Features, 2025.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SigLIP 2: Multilingual Vision- Language Encoders with Improved Semantic Understanding, Localization, and Dense Features, 2025
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.591474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f16cb3bf-ef99-4b47-b42b-e80ba60b1974 · outbound
This paper cites Super-Resolution Quality Assessment: Subjective Evaluation Database and Quality Index Based on Perceptual Structure Measurement.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Super-Resolution Quality Assessment: Subjective Evaluation Database and Quality Index Based on Perceptual Structure Measurement
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.576438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8343101c-6efc-4b7a-97a0-058d83c0fd94 · outbound
This paper cites SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:41:19.047679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 305383c5-e538-442a-b07a-e70b9b9425d4 · outbound
This paper cites ESRGAN: En- hanced Super-Resolution Generative Adversarial Networks.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results ESRGAN: En- hanced Super-Resolution Generative Adversarial Networks
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.562565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bb72579-960c-484f-9b49-db87d180c172 · outbound
This paper cites Real-ESRGAN: Training Real-World Blind Super- Resolution With Pure Synthetic Data.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Real-ESRGAN: Training Real-World Blind Super- Resolution With Pure Synthetic Data
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.548066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82bc278f-089b-4c59-8280-f55a4a6f3301 · outbound
This paper cites Attention.
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.533424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 909fc000-54f3-42dc-b78f-7c92ca92cebb · outbound
This paper cites Deep Networks for Image Super-Resolution With Sparse Prior.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Deep Networks for Image Super-Resolution With Sparse Prior
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.517870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa8728f1-3245-4403-8c0d-4e93d6eefdb2 · outbound
This paper cites Super-Resolution Neural Op- erator.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Super-Resolution Neural Op- erator
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.499265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 06402059-53f1-4491-9e40-15df3dd43cb8 · outbound
This paper cites SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.482506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2497840-9d9e-48a4-bfe7-adfa84656a72 · outbound
This paper cites Diffusion Prior Interpolation for Flexibil- ity Real-World Face Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Diffusion Prior Interpolation for Flexibil- ity Real-World Face Super-Resolution
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.468738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 607b0b1b-138d-492e-b775-f17a40734e11 · outbound
This paper cites Objective Quality Assessment of Interpolated Natural Im- ages.IEEE Transactions on Image Processing, 24(11):4651– 4663, 2015.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Objective Quality Assessment of Interpolated Natural Im- ages.IEEE Transactions on Image Processing, 24(11):4651– 4663, 2015
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.454786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd3faf35-1b10-43f3-9cef-604604cdb00f · outbound
This paper cites Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.438114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ff95dbf-95c3-4228-a72f-640f13094126 · outbound
This paper cites Deep Unfold- ing Network for Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Deep Unfold- ing Network for Image Super-Resolution
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.423555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a3f7203f-335a-407c-ae76-8b13901fa7c2 · outbound
This paper cites Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.408208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a725a0c9-1a19-43d4-99a0-3f123d9d939e · outbound
This paper cites Transcending the Limit of Local Window: Ad- vanced Super-Resolution Transformer with Adaptive Token Dictionary.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Transcending the Limit of Local Window: Ad- vanced Super-Resolution Transformer with Adaptive Token Dictionary
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.393169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 69da4afd-7a48-483b-9924-b2efaa689848 · outbound
This paper cites RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.377278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b7556735-af0a-4217-9ab3-0ac04e5483ae · outbound
This paper cites Uncertainty-aware blind image quality assessment in the laboratory and wild.IEEE Transactions on Image Pro- cessing, 30:3474–3486, 2021.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Uncertainty-aware blind image quality assessment in the laboratory and wild.IEEE Transactions on Image Pro- cessing, 30:3474–3486, 2021
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.362830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aba97a96-5703-4749-9bd8-46f9a0605840 · outbound
This paper cites Blind Image Quality Assessment via Vision- Language Correspondence: A Multitask Learning Perspec- tive.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Blind Image Quality Assessment via Vision- Language Correspondence: A Multitask Learning Perspec- tive
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.348306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6c668df2-17d3-4060-a655-a3dac478b70f · outbound
This paper cites Blind Super-resolution Quality Assessment based on a Resolution-adaptive Vision-language Model.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Blind Super-resolution Quality Assessment based on a Resolution-adaptive Vision-language Model
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.333906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3d782b47-d5c3-43e2-974e-b5b5bdefc186 · outbound
This paper cites Image Super-Resolution Using Very Deep Residual Channel Attention Networks.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.319537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ea93c61-70fc-4691-a422-ad6a8b6f2039 · outbound
This paper cites Learning-Based Quality Assessment for Image Super-Resolution.IEEE Transactions on Multimedia, 24: 3570–3581, 2022.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Learning-Based Quality Assessment for Image Super-Resolution.IEEE Transactions on Multimedia, 24: 3570–3581, 2022
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.304762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aba7bb63-4a20-4458-82c7-90fe7b3216a8 · outbound
This paper cites Visual Quality Assessment for Super-Resolved Images: Database and Method.IEEE Transactions on Image Pro- cessing, 28(7):3528–3541, 2019.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Visual Quality Assessment for Super-Resolved Images: Database and Method.IEEE Transactions on Image Pro- cessing, 28(7):3528–3541, 2019
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.289407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation afba9b35-33ff-4440-aa14-908175aa98b6 · outbound
This paper cites Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.274591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3b0817ff-e906-4cf4-a499-ac9c73b126f7 · outbound
This paper cites Blind quality assessment for image superreso- lution using deep two-stream convolutional networks.Infor- mation Sciences, 528:205–218, 2020.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Blind quality assessment for image superreso- lution using deep two-stream convolutional networks.Infor- mation Sciences, 528:205–218, 2020
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.260080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3c6a753c-e212-47f7-9a9f-2ed4d7e831e7 · outbound
This paper cites Image Super- Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Image Super- Resolution Quality Assessment: Structural Fidelity Versus Statistical Naturalness
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.245580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82354195-6af8-4d71-a8d4-a7125e97388b · outbound
This paper cites Perceptual Visual Quality Assessment: Principles, Methods, and Future Directions.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results Perceptual Visual Quality Assessment: Principles, Methods, and Future Directions
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:41:19.151356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 282e85c2-64c0-4401-b2c7-437b53e0058c · outbound
This paper cites VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Mod- els: Methods and Results.
VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results VQualA 2025 Challenge on Visual Quality Comparison for Large Multimodal Mod- els: Methods and Results
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:19.230480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.