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 26–50 of 3874 papers

TitleStatusHype
ICME 2025 Grand Challenge on Video Super-Resolution for Video ConferencingCode1
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
Grids Often Outperform Implicit Neural RepresentationsCode0
Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration ModelsCode0
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
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
Incorporating Uncertainty-Guided and Top-k Codebook Matching for Real-World Blind Image Super-Resolution—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
DM^3Net: Dual-Camera Super-Resolution via Domain Modulation and Multi-scale Matching—0
Task-driven real-world super-resolution of document scans—0
A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-ResolutionCode0
Practical Manipulation Model for Robust Deepfake DetectionCode0
DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-ResolutionCode0
Multi-scale Image Super Resolution with a Single Auto-Regressive Model—0
EECD-Net: Energy-Efficient Crack Detection with Spiking Neural Networks and Gated Attention—0
Enhancing Frequency for Single Image Super-Resolution with Learnable Separable Kernels—0
MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements—0
Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation DecodersCode0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imagingCode0
Show:102550
← PrevPage 2 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified