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 3301–3325 of 3874 papers

TitleStatusHype
Near field Acoustic Holography on arbitrary shapes using Convolutional Neural NetworkCode0
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical PriorCode0
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold DiscriminationCode0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-ResolutionCode0
Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution NetworkCode0
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-ResolutionCode0
Exploring Linear Attention Alternative for Single Image Super-ResolutionCode0
Component Attention Guided Face Super-Resolution Network: CAGFaceCode0
Explorable Super ResolutionCode0
New Techniques for Preserving Global Structure and Denoising with Low Information Loss in Single-Image Super-ResolutionCode0
COMISR: Compression-Informed Video Super-ResolutionCode0
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object RepresentationCode0
Combining Contrastive and Supervised Learning for Video Super-Resolution DetectionCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
Exemplar Guided Face Image Super-Resolution without Facial LandmarksCode0
Multi-scale super-resolution generation of low-resolution scanned pathological imagesCode0
Multi-scale Residual Network for Image Super-ResolutionCode0
Evaluating Robustness of Deep Image Super-Resolution against Adversarial AttacksCode0
Ensemble Super-Resolution with A Reference DatasetCode0
Super Resolution for Root ImagingCode0
The World of Fast Moving ObjectsCode0
Non-Local Recurrent Network for Image RestorationCode0
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity CluesCode0
Multi-scale deep neural networks for real image super-resolutionCode0
Show:102550
← PrevPage 133 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified