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 1051–1100 of 3874 papers

TitleStatusHype
Sampling Generative NetworksCode1
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingCode1
Accelerating the Super-Resolution Convolutional Neural NetworkCode1
Perceptual Losses for Real-Time Style Transfer and Super-ResolutionCode1
Image Super-Resolution Using Deep Convolutional NetworksCode1
Generative Adversarial NetworksCode1
SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution—0
PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolutionCode0
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation—0
4KAgent: Agentic Any Image to 4K Super-Resolution—0
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models—0
Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution—0
Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns—0
STAR-Pose: Efficient Low-Resolution Video Human Pose Estimation via Spatial-Temporal Adaptive Super-Resolution—0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration—0
FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution—0
Compressed Video Super-Resolution based on Hierarchical Encoding—0
Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models—0
ESRPCB: an Edge guided Super-Resolution model and Ensemble learning for tiny Printed Circuit Board Defect detection—0
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations—0
DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar—0
Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution—0
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-ResolutionCode0
Joint Angle and Velocity-Estimation for Target Localization in Bistatic mmWave MIMO Radar in the Presence of Clutter—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales—0
ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems—0
Sampling Theory for Super-Resolution with Implicit Neural RepresentationsCode0
LiftVSR: Lifting Image Diffusion to Video Super-Resolution via Hybrid Temporal Modeling with Only 4RTX 4090s—0
MAMBO: High-Resolution Generative Approach for Mammography Images—0
Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration ModelsCode0
Grids Often Outperform Implicit Neural RepresentationsCode0
Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution—0
Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations—0
Low-Complexity Super-Resolution Signature Estimation of XL-MIMO FMCW Radar—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI—0
Task-driven real-world super-resolution of document scans—0
DM^3Net: Dual-Camera Super-Resolution via Domain Modulation and Multi-scale Matching—0
A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-ResolutionCode0
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation DecodersCode0
Enhancing Frequency for Single Image Super-Resolution with Learnable Separable Kernels—0
EECD-Net: Energy-Efficient Crack Detection with Spiking Neural Networks and Gated Attention—0
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-ResolutionCode0
MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements—0
Practical Manipulation Model for Robust Deepfake DetectionCode0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
Multi-scale Image Super Resolution with a Single Auto-Regressive Model—0
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imagingCode0
A Survey of Deep Learning Video Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified