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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 3874 papers

TitleStatusHype
ICME 2025 Grand Challenge on Video Super-Resolution for Video ConferencingCode1
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion ModelsCode1
A Tree-guided CNN for image super-resolutionCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Semantic-Guided Diffusion Model for Single-Step Image Super-ResolutionCode1
EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with EventsCode1
Small Clips, Big Gains: Learning Long-Range Refocused Temporal Information for Video Super-ResolutionCode1
Survey of Video Diffusion Models: Foundations, Implementations, and ApplicationsCode1
SupResDiffGAN a new approach for the Super-Resolution taskCode1
TTRD3: Texture Transfer Residual Denoising Dual Diffusion Model for Remote Sensing Image Super-ResolutionCode1
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and ResultsCode1
Enhanced Semantic Extraction and Guidance for UGC Image Super ResolutionCode1
PIDSR: Complementary Polarized Image Demosaicing and Super-ResolutionCode1
MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 GuidanceCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion ModelsCode1
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-ResolutionCode1
QDM: Quadtree-Based Region-Adaptive Sparse Diffusion Models for Efficient Image Super-ResolutionCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
MegaSR: Mining Customized Semantics and Expressive Guidance for Image Super-ResolutionCode1
QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified