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 976–1000 of 3874 papers

TitleStatusHype
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Space-Time-Aware Multi-Resolution Video EnhancementCode1
Structure-Preserving Super Resolution with Gradient GuidanceCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
High-Order Residual Network for Light Field Super-ResolutionCode1
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy imagesCode1
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 Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial LearningCode1
An End-to-end Framework For Low-Resolution Remote Sensing Semantic SegmentationCode1
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
Closed-loop Matters: Dual Regression Networks for Single Image Super-ResolutionCode1
Learning Enriched Features for Real Image Restoration and EnhancementCode1
Instant recovery of shape from spectrum via latent space connectionsCode1
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM MappingCode1
Deep Blind Video Super-resolutionCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Pixel-Level Self-Paced Learning for Super-ResolutionCode1
Creating High Resolution Images with a Latent Adversarial GeneratorCode1
Gated Fusion Network for Degraded Image Super ResolutionCode1
Meta-Transfer Learning for Zero-Shot Super-ResolutionCode1
Unpaired Image Super-Resolution using Pseudo-SupervisionCode1
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified