NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study | Paper Citation Record

Observation 5bfdcb1d-6b67-4713-ac71-b21a6f3271d3 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 1

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This paper cites Low-complexity single-image super-resolution based on nonnegative neighbor embedding.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Low-complexity single-image super-resolution based on nonnegative neighbor embedding

Reference 2

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This paper cites The 2018 pirm challenge on percep- tual image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study The 2018 pirm challenge on percep- tual image super-resolution

Reference 3

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Observation 82d806e1-a87e-4b68-8d1a-34bb289b1b5c · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Toward real-world single image super-resolution: A new benchmark and a new model

Reference 4

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Observation 0764874c-320c-4989-8b6f-34c61b2205d4 · outbound

This paper cites Adversarial Diffusion Compression for Real-World Image Super-Resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Adversarial Diffusion Compression for Real-World Image Super-Resolution

Reference 5

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Observation ab11d57b-d937-4105-9dc8-a3280f841287 · outbound

This paper cites Activating More Pixels in Image Super-Resolution Transformer.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Activating More Pixels in Image Super-Resolution Transformer

Reference 6

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Observation 4ee3a20d-30b7-4fa5-b511-48a081adc23e · outbound

This paper cites Activating more pixels in image super- resolution transformer.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Activating more pixels in image super- resolution transformer

Reference 7

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Observation 81175a78-8101-475d-8a13-5582067a6b9e · outbound

This paper cites Cross aggregation transformer for image restora- tion.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Cross aggregation transformer for image restora- tion

Reference 8

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Observation 1147bd8e-3102-457c-bf3b-be9f510fcf60 · outbound

This paper cites Second-order attention network for single im- age super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Second-order attention network for single im- age super-resolution

Reference 9

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Observation fe3bf52b-9ed2-492e-8c80-f12a04faed4a · outbound

This paper cites Learning a deep convolutional network for image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Learning a deep convolutional network for image super-resolution

Reference 10

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Observation 04b5fe5d-3b35-4c69-b69b-ac55126f37b5 · outbound

This paper cites Mamba-based light field super-resolution with efficient subspace scanning.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Mamba-based light field super-resolution with efficient subspace scanning

Reference 11

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Observation 366ef4e1-763d-42d0-aff2-5d2abf6477a2 · outbound

This paper cites Multi-scale deep neural networks for real image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Multi-scale deep neural networks for real image super-resolution

Reference 12

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Observation 1bab7f0e-9f95-45a4-895c-0f5f8e8b7a6e · outbound

This paper cites MambaIRv2: Attentive State Space Restoration.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study MambaIRv2: Attentive State Space Restoration

Reference 13

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Observation de0709c7-009e-468f-a5c6-c5cf32d18484 · outbound

This paper cites Mambair: A simple baseline for image restoration with state-space model.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Mambair: A simple baseline for image restoration with state-space model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:38.073283Z

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Observation 5ff75e32-fe57-4ba7-9294-e26382816597 · outbound

This paper cites Denoising dif- fusion probabilistic models.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Denoising dif- fusion probabilistic models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:38.059588Z

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Observation 1abf4065-248d-409d-a324-8ca5de7c6252 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Lora: Low-rank adaptation of large language models

Reference 16

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Observation a43bf1ed-fefb-46a5-aadb-bd5b7d82acbd · outbound

This paper cites Single image super-resolution from transformed self-exemplars.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Single image super-resolution from transformed self-exemplars

Reference 17

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Observation 62f8f09b-8a4d-49d4-b972-6023f8883087 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Musiq: Multi-scale image quality transformer

Reference 18

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Observation cc2b0fb9-f204-43f1-8b3c-1cea1f783331 · outbound

This paper cites Accurate image super-resolution using very deep convolutional net- works.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Accurate image super-resolution using very deep convolutional net- works

Reference 19

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Observation 27a2330d-b65a-4129-b478-232463a92e2f · outbound

This paper cites Dvmsr: Distillated vision mamba for efficient super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Dvmsr: Distillated vision mamba for efficient super-resolution

Reference 20

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Observation 24c16ae3-daba-475d-9eb5-0f6aee27b0cf · outbound

This paper cites Hst: Hierarchical swin transformer for com- pressed image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Hst: Hierarchical swin transformer for com- pressed image super-resolution

Reference 21

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Observation ef0d8445-ff8b-4fb6-a0f6-42c18cbc46b8 · outbound

This paper cites LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study LossAgent: Towards Any Optimization Objectives for Image Processing with LLM Agents

Reference 22

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Observation 486e5233-324f-4ca1-89fe-f702fd58f48b · outbound

This paper cites Sed: Semantic-aware discriminator for image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Sed: Semantic-aware discriminator for image super-resolution

Reference 23

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Observation 74f6186e-51cc-420c-b715-e953da65aac0 · outbound

This paper cites Multi-scale residual network for image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Multi-scale residual network for image super-resolution

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.632967Z

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Observation 36d63394-396c-4cdd-9a58-ad1539bae439 · outbound

This paper cites Learning disentangled fea- ture representation for hybrid-distorted image restoration.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Learning disentangled fea- ture representation for hybrid-distorted image restoration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.582422Z

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Observation 386bba21-1f7d-449e-a435-bc077dd4d853 · outbound

This paper cites Diffusion models for image restoration and enhancement–a compre- hensive survey.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Diffusion models for image restoration and enhancement–a compre- hensive survey

Reference 26

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Observation 2714d339-c6d3-4294-aec0-327ee26dc6c5 · outbound

This paper cites Ucip: A universal frame- work for compressed image super-resolution using dynamic prompt.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Ucip: A universal frame- work for compressed image super-resolution using dynamic prompt

Reference 27

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Observation 4c033579-c6c6-4582-94a4-9e41759e6405 · outbound

This paper cites Ntire 2024 challenge on short-form ugc video qual- ity assessment: Methods and results.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Ntire 2024 challenge on short-form ugc video qual- ity assessment: Methods and results

Reference 28

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

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results

Reference 29

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Observation e6a0af56-870b-49dc-8497-92c798cd8d37 · outbound

This paper cites Lsdir: A large scale dataset for image restora- tion.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Lsdir: A large scale dataset for image restora- tion

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.456900Z

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Observation c07c1542-ed85-4735-ad68-32823a0d5ad5 · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Swinir: Image restoration us- ing swin transformer

Reference 31

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Observation 43d45a6b-260d-4e5a-b93f-619664a6860c · outbound

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

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Enhanced deep residual networks for single image super-resolution

Reference 32

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Observation 8a3f57e2-8a17-4658-8734-cbe0493a04d2 · outbound

This paper cites Diff- bir: Toward blind image restoration with generative diffusion prior.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Diff- bir: Toward blind image restoration with generative diffusion prior

Reference 33

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Observation 150e6d3d-a8b8-41c4-b6c3-0d0991bd8d85 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Swin transformer: Hierarchical vision transformer using shifted windows

Reference 34

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Observation 9ed110f8-2a4b-4929-ba5d-7cd4ee81f10d · outbound

This paper cites Aigc- vqa: A holistic perception metric for aigc video quality assessment.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Aigc- vqa: A holistic perception metric for aigc video quality assessment

Reference 35

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Observation 01e91548-a493-46d7-ad30-c1b9bba90269 · outbound

This paper cites Kvq: Kwai video quality assessment for short-form videos.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Kvq: Kwai video quality assessment for short-form videos

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.286030Z

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Observation 365dff74-1a7d-4757-9882-7e511ec43627 · outbound

This paper cites Transformer for Single Image Super-Resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Transformer for Single Image Super-Resolution

Reference 37

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Observation 21c7312e-47d0-4178-af21-16561b25fc4c · outbound

This paper cites Transformer for single image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Transformer for single image super-resolution

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.141788Z

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Observation 2e888277-7bff-4fa5-8acf-dabe2493ad5b · outbound

This paper cites A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

Reference 39

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Observation 30a828f7-8350-49ad-9e5d-16d14c352213 · outbound

This paper cites Sketch-based manga retrieval using manga109 dataset.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Sketch-based manga retrieval using manga109 dataset

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.114535Z

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Observation 75485767-5ab7-41c8-828c-6705911ab51a · outbound

This paper cites Xpsr: Cross-modal priors for diffusion-based image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Xpsr: Cross-modal priors for diffusion-based image super-resolution

Reference 41

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Observation b1ba0ed2-da7e-4d12-9fc6-a0de43ee943f · outbound

This paper cites MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs

Reference 42

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Observation 175879af-83a0-4a90-8b74-9e94f6e87712 · outbound

This paper cites Moe-diffir: Task-customized diffusion priors for universal compressed image restoration.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Moe-diffir: Task-customized diffusion priors for universal compressed image restoration

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:37.005096Z

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Observation 26a3a77a-8874-48d5-b227-64cee66036fc · outbound

This paper cites Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild

Reference 44

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Observation 6c80021c-7c9f-47d3-9910-308a71d87845 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:36.963900Z

Source-reported events for the cited work

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Observation 2a3fd7b5-9eeb-4062-829c-5e3119f42dd1 · outbound

This paper cites Maxim: Multi-axis mlp for image processing.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Maxim: Multi-axis mlp for image processing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:36.949331Z

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Observation 031d6618-9e1b-4ff5-8f1f-f92ea0f95459 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Ex- ploring clip for assessing the look and feel of images

Reference 47

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Observation 831597ea-83a7-4cfb-962c-8667240beb53 · outbound

This paper cites Exploiting diffusion prior for real-world image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Exploiting diffusion prior for real-world image super-resolution

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:36.926406Z

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Observation 41cce78c-0112-41d6-9c48-aa86a51152c9 · outbound

This paper cites Recovering realistic texture in image super-resolution by deep spatial feature transform.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Recovering realistic texture in image super-resolution by deep spatial feature transform

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:36.795589Z

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Observation e3ee407c-9d84-4594-864f-ac0cadf18078 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Image quality assessment: from error visibility to structural similarity

Reference 50

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NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Aim 2020 challenge on real image super- resolution: Methods and results

Reference 51

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This paper cites Component divide- and-conquer for real-world image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Component divide- and-conquer for real-world image super-resolution

Reference 52

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This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 53

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NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Q-instruct: Improving low-level visual abilities for multi-modality foundation models

Reference 54

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This paper cites Towards open-ended visual quality comparison.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Towards open-ended visual quality comparison

Reference 55

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This paper cites One-step effective diffusion network for real-world image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study One-step effective diffusion network for real-world image super-resolution

Reference 56

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This paper cites Diffir: Efficient diffusion model for image restoration.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Diffir: Efficient diffusion model for image restoration

Reference 57

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This paper cites Frequency-assisted mamba for remote sensing image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Frequency-assisted mamba for remote sensing image super-resolution

Reference 58

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This paper cites HQ-50K: A Large-scale, High-quality Dataset for Image Restoration.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study HQ-50K: A Large-scale, High-quality Dataset for Image Restoration

Reference 59

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This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 60

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This paper cites Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Pixel-aware stable diffusion for realistic image super-resolution and personalized stylization

Reference 61

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This paper cites Depicting beyond scores: Advanc- ing image quality assessment through multi-modal language models.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Depicting beyond scores: Advanc- ing image quality assessment through multi-modal language models

Reference 62

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This paper cites Teaching large language models to regress accurate image quality scores using score distribution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Teaching large language models to regress accurate image quality scores using score distribution

Reference 63

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This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 64

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This paper cites Sf-iqa: Quality and similarity integration for ai generated im- age quality assessment.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Sf-iqa: Quality and similarity integration for ai generated im- age quality assessment

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:36.312818Z

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This paper cites Resshift: Efficient diffusion model for image super- resolution by residual shifting.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Resshift: Efficient diffusion model for image super- resolution by residual shifting

Reference 66

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This paper cites Arbitrary-steps Image Super-resolution via Diffusion Inversion.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Arbitrary-steps Image Super-resolution via Diffusion Inversion

Reference 67

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This paper cites On sin- gle image scale-up using sparse-representations.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study On sin- gle image scale-up using sparse-representations

Reference 68

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This paper cites Accurate Image Restoration with Attention Retractable Transformer.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Accurate Image Restoration with Attention Retractable Transformer

Reference 69

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This paper cites Designing a practical degradation model for deep blind image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Designing a practical degradation model for deep blind image super-resolution

Reference 70

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This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Adding Conditional Control to Text-to-Image Diffusion Models

Reference 71

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This paper cites Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary

Reference 72

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This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study The unreasonable effectiveness of deep features as a perceptual metric

Reference 73

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This paper cites Image super-resolution using very deep residual channel attention networks.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Image super-resolution using very deep residual channel attention networks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:38:36.097850Z

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This paper cites Residual dense network for image super-resolution.

NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study Residual dense network for image super-resolution

Reference 75

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