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 2001–2025 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
Show:102550
← PrevPage 81 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified