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 1951–1960 of 3874 papers

TitleStatusHype
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Detecting disruption of HER2 membrane protein organization in cell membranes with nanoscale precision—0
Deterministic Medical Image Translation via High-fidelity Brownian Bridges—0
Developing a new biophysical tool to combine magneto-optical tweezers with super-resolution fluorescence microscopy—0
Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO—0
Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling—0
DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation—0
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Diagnosing and Preventing Instabilities in Recurrent Video Processing—0
Show:102550
← PrevPage 196 of 388Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified