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 1301–1350 of 3874 papers

TitleStatusHype
Continual Learning Approaches for Anomaly DetectionCode0
MAANet: Multi-view Aware Attention Networks for Image Super-ResolutionCode0
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approachCode0
Handheld Multi-Frame Super-ResolutionCode0
LossAgent: Towards Any Optimization Objectives for Image Processing with LLM AgentsCode0
Localized Super Resolution for Foreground Images using U-Net and MR-CNNCode0
AFN: Attentional Feedback Network based 3D Terrain Super-ResolutionCode0
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse CodingCode0
Machine learning for reconstruction of polarity inversion lines from solar filamentsCode0
Masked Autoencoders are PDE LearnersCode0
L-MAGIC: Language Model Assisted Generation of Images with CoherenceCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Constraint matrix factorization for space variant PSFs field restorationCode0
Extreme-scale Talking-Face Video Upsampling with Audio-Visual PriorsCode0
Lightweight Image Super-Resolution with Adaptive Weighted Learning NetworkCode0
EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super ResolutionCode0
AFFIRM: Affinity Fusion-based Framework for Iteratively Random Motion correction of multi-slice fetal brain MRICode0
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive NetworkCode0
A Review of Convolutional Neural Networks for Inverse Problems in ImagingCode0
Lightweight and Robust Representation of Economic Scales from Satellite ImageryCode0
Exploring Linear Attention Alternative for Single Image Super-ResolutionCode0
Conditioning and Sampling in Variational Diffusion Models for Speech Super-ResolutionCode0
Explorable Super ResolutionCode0
Learning to Super Resolve Intensity Images from EventsCode0
A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering DrawingsCode0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
Lightweight Feature Fusion Network for Single Image Super-ResolutionCode0
Learning Parallax Attention for Stereo Image Super-ResolutionCode0
A Regularized Conditional GAN for Posterior Sampling in Image Recovery ProblemsCode0
Learning Series-Parallel Lookup Tables for Efficient Image Super-ResolutionCode0
Exemplar Guided Face Image Super-Resolution without Facial LandmarksCode0
Learning of Patch-Based Smooth-Plus-Sparse Models for Image ReconstructionCode0
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super ResolutionCode0
Conditional Generation Using Polynomial ExpansionsCode0
Learning Likelihoods with Conditional Normalizing FlowsCode0
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel RemovalCode0
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-ResolutionCode0
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution ForestsCode0
Light Field Super-resolution via Attention-Guided Fusion of Hybrid LensesCode0
Evaluating Robustness of Deep Image Super-Resolution against Adversarial AttacksCode0
Content and Colour Distillation for Learning Image Translations with the Spatial Profile LossCode0
Learning Descriptor Networks for 3D Shape Synthesis and AnalysisCode0
MetH: A family of high-resolution and variable-shape image challengesCode0
Arbitrary Scale Super-Resolution for Brain MRI ImagesCode0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution ImagingCode0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Learning Accurate and Enriched Features for Stereo Image Super-ResolutionCode0
LatticeNet: Towards Lightweight Image Super-resolution with Lattice BlockCode0
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing ImagesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified