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 3051–3075 of 3874 papers

TitleStatusHype
Semantic-Aware Depth Super-Resolution in Outdoor Scenes—0
Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network—0
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow—0
VarSR: Variational Super-Resolution Network for Very Low Resolution Images—0
Application of Video-to-Video Translation Networks to Computational Fluid Dynamics—0
SemanticHuman-HD: High-Resolution Semantic Disentangled 3D Human Generation—0
A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data—0
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds—0
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution—0
Semantic Segmentation Using Super Resolution Technique as Pre-Processing—0
A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network—0
A parametric non-negative coupled canonical polyadic decomposition algorithm for hyperspectral super-resolution—0
Semi-Supervised Super-Resolution—0
4KAgent: Agentic Any Image to 4K Super-Resolution—0
Sensing User's Channel and Location with Terahertz Extra-Large Reconfigurable Intelligent Surface under Hybrid-Field Beam Squint Effect—0
A Papier-Mâché Approach to Learning 3D Surface Generation—0
Separation-Free Spectral Super-Resolution via Convex Optimization—0
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
VEnhancer: Generative Space-Time Enhancement for Video Generation—0
Seven ways to improve example-based single image super resolution—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
Sex-Classification from Cell-Phones Periocular Iris Images—0
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising—0
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified