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 1551–1600 of 3874 papers

TitleStatusHype
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-ResolutionCode0
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-ResolutionCode0
Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion PriorCode0
DIffSteISR: Harnessing Diffusion Prior for Superior Real-world Stereo Image Super-Resolution—0
Event-Stream Super Resolution using Sigma-Delta Neural Network—0
Palantir: Towards Efficient Super Resolution for Ultra-high-definition Live StreamingCode0
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Kalman-Inspired Feature Propagation for Video Face Super-Resolution—0
Efficient Single Image Super-Resolution with Entropy Attention and Receptive Field Augmentation—0
Underwater litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network—0
Monitoring of Hermit Crabs Using drone-captured imagery and Deep Learning based Super-Resolution Reconstruction and Improved YOLOv8—0
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention—0
Supervised Image Translation from Visible to Infrared Domain for Object Detection—0
PINNs for Medical Image Analysis: A Survey—0
Stop-and-go wave super-resolution reconstruction via iterative refinement—0
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception—0
What makes for good morphology representations for spatial omics?—0
Efficient Channel Estimation for Millimeter Wave and Terahertz Systems Enabled by Integrated Super-resolution Sensing and Communication—0
Deep Learning for Super-resolution Ultrasound Imaging with Spatiotemporal Data—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network—0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine—0
GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution—0
Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution—0
3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-ResolutionCode0
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution—0
ThermalNeRF: Thermal Radiance Fields—0
Efficient Multi-disparity Transformer for Light Field Image Super-resolution—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network—0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
Deconvolution with a Box—0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse ProblemsCode0
Backdoor Attacks against Image-to-Image Networks—0
2D Neural Fields with Learned Discontinuities—0
Task-driven single-image super-resolution reconstruction of document scans—0
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution—0
Spatially-Variant Degradation Model for Dataset-free Super-resolutionCode0
VEnhancer: Generative Space-Time Enhancement for Video Generation—0
UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution—0
Deform-Mamba Network for MRI Super-Resolution—0
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis—0
Neuromorphic Imaging with Super-Resolution—0
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution—0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution—0
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence—0
A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution—0
Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified