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
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse ProblemsCode0
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific SimulationsCode0
DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal imagesCode0
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument InterfaceCode0
Adaptation of the super resolution SOTA for Art Restoration in camera capture imagesCode0
Regularized Training of Intermediate Layers for Generative Models for Inverse ProblemsCode0
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI SegmentationCode0
DeepSTORM3D: dense three dimensional localization microscopy and point spread function design by deep learningCode0
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR ApplicationsCode0
Cross-Resolution Learning for Face RecognitionCode0
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image SynthesisCode0
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-ResolutionCode0
Remote Sensing Image Fusion Based on Two-stream Fusion NetworkCode0
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale WarpingCode0
Webcam-based Pupil Diameter Prediction Benefits from UpscalingCode0
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution PipelineCode0
Cross-domain heterogeneous residual network for single image super-resolutionCode0
Criteria Comparative Learning for Real-scene Image Super-ResolutionCode0
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch NormalizationCode0
An Efficient Network Design for Face Video Super-resolutionCode0
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area SurveillanceCode0
Deep Sparse and Low-Rank Prior for Hyperspectral Image DenoisingCode0
Deep Residual Network for Joint Demosaicing and Super-ResolutionCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
Residual Dense Network for Image RestorationCode0
Residual Dense Network for Image Super-ResolutionCode0
HR-INR: Continuous Space-Time Video Super-Resolution via Event CameraCode0
Deep Mean-Shift Priors for Image RestorationCode0
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-ResolutionCode0
Teaching deep neural networks to localize single molecules for super-resolution microscopyCode0
Trustworthy Image Super-Resolution via Generative PseudoinverseCode0
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorCode0
tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid FlowCode0
Residual Non-local Attention Networks for Image RestorationCode0
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
StofNet: Super-resolution Time of Flight NetworkCode0
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and ResultsCode0
Store and Fetch Immediately: Everything Is All You Need for Space-Time Video Super-resolutionCode0
Deeply-Recursive Convolutional Network for Image Super-ResolutionCode0
Temporal Consistency Learning of inter-frames for Video Super-ResolutionCode0
DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing DataCode0
Resolution-invariant Person Re-IdentificationCode0
High-throughput, high-resolution registration-free generated adversarial network microscopyCode0
ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral ImagesCode0
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise ModulationsCode0
High-Resolution GAN Inversion for Degraded Images in Large Diverse DatasetsCode0
High-Quality Face Image SR Using Conditional Generative Adversarial NetworksCode0
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANsCode0
High-Frequency Prior-Driven Adaptive Masking for Accelerating Image Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified