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

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Showing 501–525 of 3874 papers

TitleStatusHype
An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural RepresentationCode1
Efficient scene text image super-resolution with semantic guidanceCode1
Feature Distillation Interaction Weighting Network for Lightweight Image Super-ResolutionCode1
CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-ResolutionCode1
Convolutional Neural Networks with Intermediate Loss for 3D Super-Resolution of CT and MRI ScansCode1
Efficient Video Compression via Content-Adaptive Super-ResolutionCode1
Anchor-based Plain Net for Mobile Image Super-ResolutionCode1
EgoVSR: Towards High-Quality Egocentric Video Super-ResolutionCode1
Boosting Single Image Super-Resolution via Partial Channel ShiftingCode1
Boosting Video Super Resolution with Patch-Based Temporal Redundancy OptimizationCode1
Fast and accurate learned multiresolution dynamical downscaling for precipitationCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Manifold Matching via Deep Metric Learning for Generative ModelingCode1
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-ResolutionCode1
Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionCode1
Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function SpaceCode1
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstructionCode1
FALL-E: A Foley Sound Synthesis Model and StrategiesCode1
Fast Adaptation to Super-Resolution Networks via Meta-LearningCode1
Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-ResolutionCode1
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary GeometriesCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified