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 2001–2050 of 3874 papers

TitleStatusHype
Bayesian Based Unrolling for Reconstruction and Super-resolution of Single-Photon Lidar Systems—0
CycMuNet+: Cycle-Projected Mutual Learning for Spatial-Temporal Video Super-Resolution—0
Real-Time Neural Video Recovery and Enhancement on Mobile Devices—0
NLCUnet: Single-Image Super-Resolution Network with Hairline Details—0
PartDiff: Image Super-resolution with Partial Diffusion Models—0
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network—0
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO)—0
Soft-IntroVAE for Continuous Latent space Image Super-Resolution—0
A comparative analysis of SRGAN models—0
Surface Geometry Processing: An Efficient Normal-based Detail Representation—0
Reconstructing Three-decade Global Fine-Grained Nighttime Light Observations by a New Super-Resolution Framework—0
MaxSR: Image Super-Resolution Using Improved MaxViT—0
DWA: Differential Wavelet Amplifier for Image Super-ResolutionCode0
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection—0
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets—0
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution—0
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution—0
Source Identification: A Self-Supervision Task for Dense Prediction—0
Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution—0
Spatio-Temporal Perception-Distortion Trade-off in Learned Video SRCode0
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution—0
Enhancing Super-Resolution Networks through Realistic Thick-Slice CT SimulationCode0
Line Spectrum Estimation and Detection with Few-bit ADCs: Theoretical Analysis and Generalized NOMP Algorithm—0
A Motion Assessment Method for Reference Stack Selection in Fetal Brain MRI Reconstruction Based on Tensor Rank ApproximationCode0
SPDER: Semiperiodic Damping-Enabled Object Representation—0
Cutting-Edge Techniques for Depth Map Super-Resolution—0
Semantic Segmentation Using Super Resolution Technique as Pre-Processing—0
Novel Hybrid-Learning Algorithms for Improved Millimeter-Wave Imaging SystemsCode0
Iterative-in-Iterative Super-Resolution Biomedical Imaging Using One Real Image—0
Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolutionCode0
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling—0
Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks—0
Directional diffusion models for graph representation learning—0
Super-Resolution of BVOC Emission Maps Via Domain AdaptationCode0
DiffuseIR:Diffusion Models For Isotropic Reconstruction of 3D Microscopic Images—0
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology—0
Evaluating Loss Functions and Learning Data Pre-Processing for Climate Downscaling Deep Learning Models—0
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation—0
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach—0
CANDID: Correspondence AligNment for Deep-burst Image Denoising—0
Generalizable One-shot Neural Head Avatar—0
Effects of Data Enrichment with Image Transformations on the Performance of Deep Networks—0
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration—0
SARN: Structurally-Aware Recurrent Network for Spatio-Temporal DisaggregationCode0
A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions—0
SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting—0
AI Techniques for Cone Beam Computed Tomography in Dentistry: Trends and Practices—0
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes—0
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality AssessmentCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified