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 251–275 of 3874 papers

TitleStatusHype
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image SynthesisCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-ResolutionCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and ReconstructionCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Deep Space-Time Video Upsampling NetworksCode1
Deep Unfolding Network for Image Super-ResolutionCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
ControlSR: Taming Diffusion Models for Consistent Real-World Image Super ResolutionCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
Degradation Oriented and Regularized Network for Blind Depth Super-ResolutionCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
CADyQ: Content-Aware Dynamic Quantization for Image Super-ResolutionCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified