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

Showing 851860 of 3874 papers

TitleStatusHype
Edge-enhanced Feature Distillation Network for Efficient Super-ResolutionCode1
Physics-Informed Neural Operator for Learning Partial Differential EquationsCode1
edge-SR: Super-Resolution For The MassesCode1
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
DynaVSR: Dynamic Adaptive Blind Video Super-ResolutionCode1
EBSR: Feature Enhanced Burst Super-Resolution With Deformable AlignmentCode1
Pixel-Level Self-Paced Learning for Super-ResolutionCode1
Burst Image Restoration and EnhancementCode1
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution NetworksCode1
Show:102550
← PrevPage 86 of 388Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified