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 876–900 of 3874 papers

TitleStatusHype
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