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 501–525 of 3874 papers

TitleStatusHype
Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution—0
Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-Resolution—0
HASN: Hybrid Attention Separable Network for Efficient Image Super-resolutionCode0
Super Resolution Based on Deep Operator Networks—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
Co-learning Single-Step Diffusion Upsampler and Downsampler with Two Discriminators and Distillation—0
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher ResolutionCode1
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-ResolutionCode0
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-ResolutionCode1
Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution—0
Enhanced Super-Resolution Training via Mimicked Alignment for Real-World ScenesCode1
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns—0
Distillation-Free One-Step Diffusion for Real-World Image Super-ResolutionCode2
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results—0
TV-based Deep 3D Self Super-Resolution for fMRI—0
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
Learning Truncated Causal History Model for Video RestorationCode2
PixelShuffler: A Simple Image Translation Through Pixel RearrangementCode1
SuperGS: Super-Resolution 3D Gaussian Splatting Enhanced by Variational Residual Features and Uncertainty-Augmented LearningCode1
PnP-Flow: Plug-and-Play Image Restoration with Flow MatchingCode2
Stochastic Deep Restoration Priors for Imaging Inverse Problems—0
SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target DetectionCode0
Resolution Enhancement of Scanning Electron Micrographs using Artificial Intelligence—0
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism—0
Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified