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 401–425 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
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-ResolutionCode1
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
Diffusion Models Beat GANs on Image ClassificationCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified