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 3276–3300 of 3874 papers

TitleStatusHype
Stochastic super-resolution for Gaussian microtextures—0
Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models—0
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution—0
Stop-and-go wave super-resolution reconstruction via iterative refinement—0
3D Super-Resolution Ultrasound with Adaptive Weight-Based Beamforming—0
AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices—0
Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference—0
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content—0
Structured Bayesian Gaussian process latent variable model—0
Structured illumination microscopy for dual-modality 3D sub-diffraction resolution fluorescence and refractive-index reconstruction—0
Video Super-Resolution Using a Grouped Residual in Residual Network—0
Structure Flow-Guided Network for Real Depth Super-Resolution—0
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning—0
AIM 2020 Challenge on Video Temporal Super-Resolution—0
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results—0
Structure Tensor Based Image Interpolation Method—0
Studying Very Low Resolution Recognition Using Deep Networks—0
Study of Subjective and Objective Quality in Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset—0
Exploiting Style and Attention in Real-World Super-Resolution—0
StyleDEM: a Versatile Model for Authoring Terrains—0
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results—0
StyleGAN-induced data-driven regularization for inverse problems—0
Show:102550
← PrevPage 132 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified