SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

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Showing 3176–3200 of 3874 papers

TitleStatusHype
Progressively Unfreezing Perceptual GAN—0
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution—0
Prompt-tuning latent diffusion models for inverse problems—0
Propagation Modeling for Physically Large Arrays: Measurements and Multipath Component Visibility—0
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks—0
Provable Compressed Sensing with Generative Priors via Langevin Dynamics—0
Proximal Splitting Networks for Image Restoration—0
PS^2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing—0
PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data—0
PSyCo: Manifold Span Reduction for Super Resolution—0
PTSR: Patch Translator for Image Super-Resolution—0
Pyramidal Denoising Diffusion Probabilistic Models—0
Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution—0
Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution—0
Pyramid Dual Domain Injection Network for Pan-sharpening—0
QMambaBSR: Burst Image Super-Resolution with Query State Space Model—0
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks—0
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping—0
Quality analysis of DCGAN-generated mammography lesions—0
Quality Assessment of Super-Resolved Omnidirectional Image Quality Using Tangential Views—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model—0
Quantum Annealing for Single Image Super-Resolution—0
Quasi-Newton OMP Approach for Super-Resolution Channel Estimation and Extrapolation—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified