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 551–575 of 3874 papers

TitleStatusHype
Deformable 3D Convolution for Video Super-ResolutionCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Deep Space-Time Video Upsampling NetworksCode1
Cascaded Temporal Updating Network for Efficient Video Super-ResolutionCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-ResolutionCode1
3D Human Pose, Shape and Texture from Low-Resolution Images and VideosCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and ReconstructionCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modellingCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional FlowsCode1
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional AutoencoderCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified