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

Showing 14761500 of 3874 papers

TitleStatusHype
Resolution Enhancement of Scanning Electron Micrographs using Artificial Intelligence0
SCINet: Spatial and Contrast Interactive Super-Resolution Assisted Infrared UAV Target DetectionCode0
Optimizing Drug Delivery in Smart Pharmacies: A Novel Framework of Multi-Stage Grasping Network Combined with Adaptive Robotics Mechanism0
Enhancing Sentinel-2 Image Resolution: Evaluating Advanced Techniques based on Convolutional and Generative Neural Networks0
A Generalized Tensor Formulation for Hyperspectral Image Super-Resolution Under General Spatial Blurring0
DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models0
LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction0
Unifying Dimensions: A Linear Adaptive Approach to Lightweight Image Super-ResolutionCode0
Toward Efficient Deep Blind RAW Image Restoration0
Study of Subjective and Objective Quality in Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset0
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results0
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate DataCode0
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content0
Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial0
Denoising Graph Super-Resolution towards Improved Collider Event ReconstructionCode0
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results0
Prior Knowledge Distillation Network for Face Super-Resolution0
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity CluesCode0
One Model for Two Tasks: Cooperatively Recognizing and Recovering Low-Resolution Scene Text Images by Iterative Mutual Guidance0
A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer0
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring0
Super-Resolution via Learned Predictor0
Image inpainting for corrupted images by using the semi-super resolution GAN0
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing0
Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localisation Microscopy with Large Tissue Displacements0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified