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 2101–2150 of 3874 papers

TitleStatusHype
Ultra Sharp : Study of Single Image Super Resolution using Residual Dense NetworkCode0
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
StyleDEM: a Versatile Model for Authoring Terrains—0
Quantum Annealing for Single Image Super-Resolution—0
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation—0
Learning-based Framework for US Signals Super-resolution—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion—0
DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution—0
A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution—0
Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution—0
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation—0
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement—0
Super-Resolving Face Image by Facial Parsing InformationCode0
CG-3DSRGAN: A classification guided 3D generative adversarial network for image quality recovery from low-dose PET images—0
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models—0
Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging in vivo—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
Image-to-image domain adaptation for vehicle re-identification—0
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-ResolutionCode0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
Dual Circle Contrastive Learning-Based Blind Image Super-Resolution—0
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-ResolutionCode0
Transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients—0
A Three-Player GAN for Super-Resolution in Magnetic Resonance Imaging—0
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
A High-Frequency Focused Network for Lightweight Single Image Super-Resolution—0
CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images—0
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers—0
Parameter-Free Channel Attention for Image Classification and Super-Resolution—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images—0
Toward Super-Resolution for Appearance-Based Gaze Estimation—0
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU—0
Depth Super-Resolution from Explicit and Implicit High-Frequency Features—0
Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation—0
ViTO: Vision Transformer-Operator—0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation—0
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach—0
IFF: A Super-resolution Algorithm for Multiple Measurements—0
Raising The Limit Of Image Rescaling Using Auxiliary Encoding—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-MixerCode0
A New Super-Resolution Measurement of Perceptual Quality and Fidelity—0
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery—0
Provably Convergent Plug-and-Play Quasi-Newton MethodsCode0
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified