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 3001–3050 of 3874 papers

TitleStatusHype
Structure-Preserving Super Resolution with Gradient GuidanceCode1
High-Order Residual Network for Light Field Super-ResolutionCode1
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey—0
Reducing Magnetic Resonance Image Spacing by Learning Without Ground-Truth—0
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy imagesCode1
Learning regularization and intensity-gradient-based fidelity for single image super resolution—0
Deep Unfolding Network for Image Super-ResolutionCode1
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector NetworkCode1
Across-scale Process Similarity based Interpolation for Image Super-Resolution—0
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention—0
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Towards a Computer Vision Particle Flow—0
Weak Texture Information Map Guided Image Super-resolution with Deep Residual Networks—0
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial LearningCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
Learning Enriched Features for Real Image Restoration and EnhancementCode1
Instant recovery of shape from spectrum via latent space connectionsCode1
Pyramidal Edge-maps and Attention based Guided Thermal Super-resolution—0
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?—0
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM MappingCode1
Memory-efficient Learning for Large-scale Computational Imaging—0
Deep Blind Video Super-resolutionCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds—0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution—0
Perceptual Image Super-Resolution with Progressive Adversarial Network—0
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative ModelsCode3
Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network—0
Pixel-Level Self-Paced Learning for Super-ResolutionCode1
Weighted Encoding Based Image Interpolation With Nonlocal Linear Regression Model—0
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge—0
Turbulence Enrichment using Physics-informed Generative Adversarial Networks—0
Residual learning based densely connected deep dilated network for joint deblocking and super resolution—0
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better—0
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players—0
Gated Fusion Network for Degraded Image Super ResolutionCode1
Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning—0
Meta-Transfer Learning for Zero-Shot Super-ResolutionCode1
Learning Light Field Angular Super-Resolution via a Geometry-Aware NetworkCode1
Super-Resolving Commercial Satellite Imagery Using Realistic Training Data—0
Unpaired Image Super-Resolution using Pseudo-SupervisionCode1
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-ResolutionCode1
RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding—0
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-ResolutionCode1
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud UpsamplingCode1
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified