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 851–900 of 3874 papers

TitleStatusHype
RF-ULM: Ultrasound Localization Microscopy Learned from Radio-Frequency WavefrontsCode1
Light Field Image Super-Resolution with TransformersCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive TransformerCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Image super-resolution via dynamic networkCode1
Image Super-Resolution via Iterative RefinementCode1
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder ApproachCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Image Super-Resolution With Non-Local Sparse AttentionCode1
Image Super-resolution with An Enhanced Group Convolutional Neural NetworkCode1
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars MiningCode1
Degradation Oriented and Regularized Network for Blind Depth Super-ResolutionCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
Burst Image Restoration and EnhancementCode1
Designing a Practical Degradation Model for Deep Blind Image Super-ResolutionCode1
Implicit Transformer Network for Screen Content Image Continuous Super-ResolutionCode1
Implicit Grid Convolution for Multi-Scale Image Super-ResolutionCode1
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-ResolutionCode1
Implicit Neural Image StitchingCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Improving Scene Text Image Super-resolution via Dual Prior Modulation NetworkCode1
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
Improving the Fairness of Deep Generative Models without RetrainingCode1
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element NetworksCode1
Deformable 3D Convolution for Video Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Infrared Image Super-Resolution: Systematic Review, and Future TrendsCode1
Searching for Low-Bit Weights in Quantized Neural NetworksCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Best-Buddy GANs for Highly Detailed Image Super-ResolutionCode1
Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Adaptive Patch Exiting for Scalable Single Image Super-ResolutionCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion ModelCode1
Learning to Super-Resolve Blurry Images with EventsCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Lesion Focused Super-ResolutionCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Lightweight Image Super-Resolution with Information Multi-distillation NetworkCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep Unfolding Network for Image Super-ResolutionCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified