NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results | Paper Citation Record

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This paper cites https://unsplash.com/ data.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results https://unsplash.com/ data

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This paper cites Simple baselines for image restoration.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Simple baselines for image restoration

Reference 2

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Activating more pixels in image super- resolution transformer

Reference 3

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This paper cites Dual aggregation transformer for image super-resolution.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Dual aggregation transformer for image super-resolution

Reference 4

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This paper cites NTIRE 2024 challenge on image super-resolution (×4): Methods and results.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2024 challenge on image super-resolution (×4): Methods and results

Reference 5

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on image super-resolution (×4): Methods and results

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on real-world face restoration: Methods and results

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on raw image restoration and super-resolution

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Raw image reconstruc- tion from RGB on smartphones

Reference 9

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Second-order attention network for single image super-resolution

Reference 10

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Learning a deep convolutional network for image super-resolution

Reference 11

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This paper cites TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution

Reference 12

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This paper cites NTIRE 2025 challenge on night photography rendering.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on night photography rendering

Reference 13

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on cross-domain few-shot object detection: Methods and results

Reference 14

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Generative adversarial nets

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This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Mamba: Linear-Time Sequence Modeling with Selective State Spaces

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This paper cites MambaIRv2: Attentive State Space Restoration.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results MambaIRv2: Attentive State Space Restoration

Reference 17

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results MambaIR: A simple baseline for image restoration with state-space model

Reference 18

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This paper cites Data acquisition and preparation for dual-reference deep learning of image super-resolution.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Data acquisition and preparation for dual-reference deep learning of image super-resolution

Reference 19

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Observation 0c520c62-d9f5-4ecd-a77f-cdb70d7268b6 · outbound

This paper cites NTIRE 2025 challenge on text to image generation model quality assess- ment.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on text to image generation model quality assess- ment

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This paper cites Denoising diffu- sion probabilistic models.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Denoising diffu- sion probabilistic models

Reference 21

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Drct: Saving image super-resolution away from information bottleneck

Reference 22

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on video quality enhancement for video con- ferencing: Datasets, methods and results

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Accurate image super-resolution using very deep convolutional net- works

Reference 24

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This paper cites Adam: A Method for Stochastic Optimization.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Adam: A Method for Stochastic Optimization

Reference 25

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This paper cites Training transformer models by wavelet losses improves quantitative and visual performance in single image super-resolution.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Training transformer models by wavelet losses improves quantitative and visual performance in single image super-resolution

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Photo-realistic single image super-resolution using a generative adversarial network

Reference 27

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on efficient burst hdr and restoration: Datasets, methods, and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on day and night raindrop removal for dual-focused images: Methods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Kwaisr dataset and study

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on short-form ugc video quality assessment and enhancement: Methods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Ls- dir: A large scale dataset for image restoration

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Swinir: Image restoration us- ing swin transformer

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 the 2nd restore any image model (RAIM) in the wild challenge

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Enhanced deep residual networks for single image super-resolution

Reference 36

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 XGC quality assessment chal- lenge: Methods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on low light image enhancement: Methods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results VMamba: Visual State Space Model

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Swin transformer: Hierarchical vision transformer using shifted windows

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Decoupled Weight Decay Regularization

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results And: Ad- versarial neural degradation for learning blind image super- resolution

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Learn- ing transferable visual models from natural language super- vision

Reference 43

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results The tenth NTIRE 2025 efficient super- resolution challenge report

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on UGC video enhancement: Meth- ods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Image super- resolution via iterative refinement

Reference 46

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Context- constrained hallucination for image super-resolution

Reference 47

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on event-based image deblurring: Methods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results The tenth ntire 2025 image denoising challenge report

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Ntire 2017 chal- lenge on single image super-resolution: Methods and results

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 image shadow removal challenge report

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 ambi- ent lighting normalization challenge

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Attention is all you need

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Ex- ploring clip for assessing the look and feel of images

Reference 54

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on light field image super-resolution: Methods and results

Reference 55

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This paper cites Deep networks for image super-resolution with sparse prior.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Deep networks for image super-resolution with sparse prior

Reference 56

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This paper cites Seesr: Towards semantics-aware real-world image super-resolution.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Seesr: Towards semantics-aware real-world image super-resolution

Reference 57

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results DiffIR: Efficient Diffusion Model for Image Restoration

Reference 58

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results $\text{S}^{3}$Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model

Reference 59

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on single image reflection removal in the wild: Datasets, methods and results

Reference 60

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2025 challenge on hr depth from images of specular and transparent surfaces

Reference 61

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution

Reference 62

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Image De-raining Using a Conditional Generative Adversarial Network

Reference 63

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This paper cites Single image super-resolution with non-local means and steering kernel regression.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Single image super-resolution with non-local means and steering kernel regression

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:49:45.934556Z

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

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results The unreasonable effectiveness of deep features as a perceptual metric

Reference 65

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Image super-resolution using very deep residual channel attention networks

Reference 66

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Residual dense network for image super-resolution

Reference 67

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This paper cites Ntire 2023 challenge on image super- resolution (x4): Methods and results.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results Ntire 2023 challenge on image super- resolution (x4): Methods and results

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:49:45.912589Z

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NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results NTIRE 2023 challenge on image super-resolution (x4): Methods and results

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:49:45.904029Z

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This paper cites A robust and computationally efficient simultaneous super-resolution scheme for image sequences.

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results A robust and computationally efficient simultaneous super-resolution scheme for image sequences

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:49:45.895121Z

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