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 401–450 of 3874 papers

TitleStatusHype
Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-ResolutionCode1
One-stage Low-resolution Text Recognition with High-resolution Knowledge TransferCode1
Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point CloudsCode1
Lightweight Super-Resolution Head for Human Pose EstimationCode1
Fully 11 Convolutional Network for Lightweight Image Super-ResolutionCode1
StarSRGAN: Improving Real-World Blind Super-ResolutionCode1
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutionCode1
On the Effectiveness of Spectral Discriminators for Perceptual Quality ImprovementCode1
Towards Robust Scene Text Image Super-resolution via Explicit Location EnhancementCode1
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
Diffusion Models Beat GANs on Image ClassificationCode1
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-ResolutionCode1
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-ResolutionCode1
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational ImagingCode1
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsCode1
Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRICode1
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion ModelsCode1
WaveMixSR: A Resource-efficient Neural Network for Image Super-resolutionCode1
RBSR: Efficient and Flexible Recurrent Network for Burst Super-ResolutionCode1
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine LearningCode1
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
Minimalist and High-Quality Panoramic Imaging with PSF-aware TransformersCode1
Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image RepresentationCode1
FALL-E: A Foley Sound Synthesis Model and StrategiesCode1
Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual DataCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-ResolutionCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projectionCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Model-Based Deep LearningCode1
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
Towards Real-Time 4K Image Super-ResolutionCode1
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-ResolutionCode1
Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and ReportCode1
Super-Resolution of License Plate Images Using Attention Modules and Sub-Pixel Convolution LayersCode1
Accelerating Diffusion Models for Inverse Problems through Shortcut SamplingCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
EgoVSR: Towards High-Quality Egocentric Video Super-ResolutionCode1
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
Reciprocal Attention Mixing Transformer for Lightweight Image RestorationCode1
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectraCode1
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration ProblemsCode1
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
GCRDN: Global Context-Driven Residual Dense Network for Remote Sensing Image SuperresolutionCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar ImagingCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified