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 501–550 of 3874 papers

TitleStatusHype
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-ResolutionCode1
Hyperspectral Image Super Resolution with Real Unaligned RGB GuidanceCode1
Towards Geospatial Foundation Models via Continual PretrainingCode1
Hypernetworks build Implicit Neural Representations of SoundsCode1
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware TransformerCode1
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Learning Continuous Mesh Representation with Spherical Implicit SurfaceCode1
WIRE: Wavelet Implicit Neural RepresentationsCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Toward Stable, Interpretable, and Lightweight Hyperspectral Super-ResolutionCode1
Lightweight Image Super-Resolution with Superpixel Token InteractionCode1
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance PursuitCode1
Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale UpsamplingCode1
Compression-Aware Video Super-ResolutionCode1
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and ReconstructionCode1
Spatial-Frequency Mutual Learning for Face Super-ResolutionCode1
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-ResolutionCode1
Zero-Shot Dual-Lens Super-ResolutionCode1
Azimuth Super-Resolution for FMCW Radar in Autonomous DrivingCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Structure Aggregation for Cross-Spectral Stereo Image Guided DenoisingCode1
Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-ResolutionCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
B-Spline Texture Coefficients Estimator for Screen Content Image Super-ResolutionCode1
Cross-Resolution Flow Propagation for Foveated Video Super-ResolutionCode1
Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-ResolutionCode1
Infrared Image Super-Resolution: Systematic Review, and Future TrendsCode1
Meta-Learned Kernel For Blind Super-Resolution Kernel EstimationCode1
Mitigating Artifacts in Real-World Video Super-Resolution ModelsCode1
U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image FusionCode1
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-ResolutionCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
RainUNet for Super-Resolution Rain Movie Prediction under Spatio-temporal ShiftsCode1
Learning Continuous Depth Representation via Geometric Spatial AggregatorCode1
Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormersCode1
Learning Detail-Structure Alternative Optimization for Blind Super-ResolutionCode1
Bridging Component Learning with Degradation Modelling for Blind Image Super-ResolutionCode1
Global Learnable Attention for Single Image Super-ResolutionCode1
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantificationCode1
Knowledge Distillation based Degradation Estimation for Blind Super-ResolutionCode1
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-ResolutionCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
Perception-Oriented Single Image Super-Resolution using Optimal Objective EstimationCode1
GAN Prior based Null-Space Learning for Consistent Super-ResolutionCode1
Guided Depth Super-Resolution by Deep Anisotropic DiffusionCode1
N-Gram in Swin Transformers for Efficient Lightweight Image Super-ResolutionCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion ModuleCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified