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 951–1000 of 3874 papers

TitleStatusHype
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks—0
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow—0
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation—0
Reconfigurable AI Modules Aided Channel Estimation and MIMO Detection—0
Vision-Informed Flow Image Super-Resolution with Quaternion Spatial Modeling and Dynamic Flow Convolution—0
Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion modelsCode1
From Blurry to Brilliant Detection: YOLOv5-Based Aerial Object Detection with Super Resolution—0
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution—0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
Combined Generative and Predictive Modeling for Speech Super-resolution—0
Lumiere: A Space-Time Diffusion Model for Video GenerationCode3
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New MethodCode0
LKFormer: Large Kernel Transformer for Infrared Image Super-ResolutionCode1
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution—0
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions—0
OFDM Reference Signal Pattern Design Criteria for Integrated Communication and Sensing—0
Efficient Image Super-Resolution via Symmetric Visual Attention Network—0
Real3D-Portrait: One-shot Realistic 3D Talking Portrait SynthesisCode5
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token DictionaryCode2
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy—0
The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and AggregationCode1
Sparsity-based background removal for STORM super-resolution imagesCode0
City Scene Super-Resolution via Geometric Error MinimizationCode0
Deep Blind Super-Resolution for Satellite VideoCode1
Video Super-Resolution Transformer with Masked Inter&Intra-Frame AttentionCode2
Frequency-Time Diffusion with Neural Cellular Automata—0
Transforming Image Super-Resolution: A ConvFormer-based Efficient ApproachCode2
TriNeRFLet: A Wavelet Based Triplane NeRF Representation—0
FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring—0
AGG: Amortized Generative 3D Gaussians for Single Image to 3D—0
Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement—0
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics—0
What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs—0
Efficient Hybrid Zoom using Camera Fusion on Mobile Phones—0
Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise—0
Learning Large-Factor EM Image Super-Resolution with Generative PriorsCode1
Revisiting Spatial-Frequency Information Integration from a Hierarchical Perspective for Panchromatic and Multi-Spectral Image FusionCode1
Image Processing GNN: Breaking Rigidity in Super-Resolution—0
Look-Up Table Compression for Efficient Image RestorationCode1
CFAT: Unleashing Triangular Windows for Image Super-resolutionCode2
Super-Resolution Reconstruction from Bayer-Pattern Spike StreamsCode0
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution—0
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
CoDe: An Explicit Content Decoupling Framework for Image Restoration—0
CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-ResolutionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified