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 1801–1850 of 3874 papers

TitleStatusHype
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement—0
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)—0
Fast Image Super-Resolution Based on In-Place Example Regression—0
Contrastive Learning for Climate Model Bias Correction and Super-Resolution—0
Image Super-Resolution With Deep Variational Autoencoders—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
A Simple Framework to Leverage State-Of-The-Art Single-Image Super-Resolution Methods to Restore Light Fields—0
Fast Image Deconvolution using Hyper-Laplacian Priors—0
Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision—0
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution—0
Image Transformer—0
IMDeception: Grouped Information Distilling Super-Resolution Network—0
Learning to Learn to Compress—0
Fast and selective super-resolution ultrasound in vivo with sono-switchable nanodroplets—0
Continuous Space-Time Video Super-Resolution Utilizing Long-Range Temporal Information—0
A self-adapting super-resolution structures framework for automatic design of GAN—0
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution—0
Continuous Sign Language Recognition via Temporal Super-Resolution Network—0
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution—0
A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames—0
A comprehensive review on Plant Leaf Disease detection using Deep learning—0
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI—0
Fast and Accurate Image Upscaling With Super-Resolution Forests—0
Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data—0
L^2FMamba: Lightweight Light Field Image Super-Resolution with State Space Model—0
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information—0
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions—0
Kernel based low-rank sparse model for single image super-resolution—0
Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms—0
Improving Generative Adversarial Networks for Video Super-Resolution—0
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos—0
Improving Object Detection Quality in Football Through Super-Resolution Techniques—0
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems—0
A mathematical theory of resolution limits for super-resolution of positive sources—0
KernelFusion: Assumption-Free Blind Super-Resolution via Patch Diffusion—0
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging—0
Improving the resolution of microscope by deconvolution after dense scan—0
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution—0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution—0
FAN: Frequency Aggregation Network for Real Image Super-resolution—0
Incorporating Degradation Estimation in Light Field Spatial Super-Resolution—0
Kernel Aware Resampler—0
Kernelized Back-Projection Networks for Blind Super Resolution—0
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization—0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
Context Reasoning Attention Network for Image Super-Resolution—0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
Inflation with Diffusion: Efficient Temporal Adaptation for Text-to-Video Super-Resolution—0
Fair Primal Dual Splitting Method for Image Inverse Problems—0
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Show:102550
← PrevPage 37 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified