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 3701–3725 of 3874 papers

TitleStatusHype
FREDSR: Fourier Residual Efficient Diffusive GAN for Single Image Super Resolution—0
FREGAN : an application of generative adversarial networks in enhancing the frame rate of videos—0
FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss—0
FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform—0
Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution—0
Frequency-aware optical coherence tomography image super-resolution via conditional generative adversarial neural network—0
Frequency-Aware Physics-Inspired Degradation Model for Real-World Image Super-Resolution—0
Frequency Consistent Adaptation for Real World Super Resolution—0
Efficient Denoising Method to Improve The Resolution of Satellite Images—0
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution—0
Efficient Channel Estimation for Millimeter Wave and Terahertz Systems Enabled by Integrated Super-resolution Sensing and Communication—0
Frequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds—0
Advanced Super-Resolution using Lossless Pooling Convolutional Networks—0
Frequency-Time Diffusion with Neural Cellular Automata—0
Efficient and Phase-aware Video Super-resolution for Cardiac MRI—0
From Blurry to Brilliant Detection: YOLOv5-Based Aerial Object Detection with Super Resolution—0
Effects of Data Enrichment with Image Transformations on the Performance of Deep Networks—0
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task—0
Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild—0
From General to Specific: Online Updating for Blind Super-Resolution—0
From Image- to Pixel-level: Label-efficient Hyperspectral Image Reconstruction—0
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes—0
S^3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model—0
ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar—0
Effect of structure-based training on 3D localization precision and quality—0
Show:102550
← PrevPage 149 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified