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 991–1000 of 3874 papers

TitleStatusHype
Instant recovery of shape from spectrum via latent space connectionsCode1
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM MappingCode1
Deep Blind Video Super-resolutionCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Pixel-Level Self-Paced Learning for Super-ResolutionCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
Gated Fusion Network for Degraded Image Super ResolutionCode1
Meta-Transfer Learning for Zero-Shot Super-ResolutionCode1
Unpaired Image Super-Resolution using Pseudo-SupervisionCode1
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-ResolutionCode1
Show:102550
← PrevPage 100 of 388Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified