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 1001–1025 of 3874 papers

TitleStatusHype
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
Enhanced Deep Residual Networks for Single Image Super-ResolutionCode1
An efficient CNN for spectral reconstruction from RGB imagesCode1
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolutionCode1
Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolutionCode1
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-ResolutionCode1
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV MinimizationCode1
Diffusion Models Beat GANs on Image ClassificationCode1
End-to-end Alternating Optimization for Real-World Blind Super ResolutionCode1
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
Multi-Attention Based Ultra Lightweight Image Super-ResolutionCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Diffusion Prior Interpolation for Flexibility Real-World Face Super-ResolutionCode1
Underwater Image Super-Resolution using Deep Residual MultipliersCode1
Enhanced Quadratic Video InterpolationCode1
DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-ResolutionCode1
Unpaired Image Super-Resolution using Pseudo-SupervisionCode1
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-ResolutionCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 NetworkCode1
Boosting Video Super Resolution with Patch-Based Temporal Redundancy OptimizationCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain ImagingCode1
Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain ConnectivityCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified