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 3701–3750 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
Fully Convolutional Network for Removing DCT Artefacts From Images—0
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks—0
Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images—0
Functional Neural Networks for Parametric Image Restoration Problems—0
Functional Nonlinear Sparse Models—0
FuseSR: Super Resolution for Real-time Rendering through Efficient Multi-resolution Fusion—0
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution—0
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images—0
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content—0
Wavelet-SRNet: A Wavelet-Based CNN for Multi-Scale Face Super Resolution—0
GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising—0
GAN-based Projector for Faster Recovery with Convergence Guarantees in Linear Inverse Problems—0
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans—0
Effectiveness of State-of-the-Art Super Resolution Algorithms in Surveillance Environment—0
Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline—0
Texture-Based Error Analysis for Image Super-Resolution—0
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds—0
Effective Invertible Arbitrary Image Rescaling—0
Gauging diffraction patterns: field of view and bandwidth estimation in lensless holography—0
GaussianSR: 3D Gaussian Super-Resolution with 2D Diffusion Priors—0
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors—0
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified