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 2401–2450 of 3874 papers

TitleStatusHype
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information FlowCode0
Rethinking Super-Resolution as Text-Guided Details Generation—0
Perception-Oriented Stereo Image Super-Resolution—0
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing—0
You Only Align Once: Bidirectional Interaction for Spatial-Temporal Video Super-Resolution—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification—0
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New BenchmarkCode0
Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images—0
Memory Efficient Patch-based Training for INR-based GANs—0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution—0
PS^2F: Polarized Spiral Point Spread Function for Single-Shot 3D Sensing—0
Continuous Sign Language Recognition via Temporal Super-Resolution Network—0
On the modern deep learning approaches for precipitation downscaling—0
Exploring the solution space of linear inverse problems with GAN latent geometry—0
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics—0
Theoretical Perspectives on Deep Learning Methods in Inverse Problems—0
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans—0
Bilateral Network with Channel Splitting Network and Transformer for Thermal Image Super-Resolution—0
A Fast Text-Driven Approach for Generating Artistic Content—0
Localisation And Imaging Methods for Moving Target Ghost Imaging Radar Based On Correlation Intensity Weighting—0
Multi-Modality Image Super-Resolution using Generative Adversarial NetworksCode0
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness—0
Real-World Single Image Super-Resolution Under Rainy Condition—0
Subsurface Depths Structure Maps Reconstruction with Generative Adversarial Networks—0
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds—0
Super-resolution image display using diffractive decoders—0
A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps—0
A GPU-Accelerated Light-field Super-resolution Framework Based on Mixed Noise Model and Weighted Regularization—0
Volumetric Image Projection Super-Resolution Ultrasound (VIP-SR) with a 1D Unfocused Linear Array—0
Robust Deep Ensemble Method for Real-world Image DenoisingCode0
Patch-based image Super Resolution using generalized Gaussian mixture model—0
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution—0
Dynamic Structured Illumination Microscopy with a Neural Space-time ModelCode0
Real-Time Super-Resolution for Real-World Images on Mobile Devices—0
Super-resolving 2D stress tensor field conserving equilibrium constraints using physics informed U-Net—0
Efficient Multi-Purpose Cross-Attention Based Image Alignment Block for Edge Devices—0
Enhancing Quality of Pose-varied Face Restoration with Local Weak Feature Sensing and GAN Prior—0
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality AssessmentCode0
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention—0
Cross-domain heterogeneous residual network for single image super-resolutionCode0
Spatial Attention-based Implicit Neural Representation for Arbitrary Reduction of MRI Slice Spacing—0
Reliability-based Mesh-to-Grid Image Reconstruction—0
Combining Contrastive and Supervised Learning for Video Super-Resolution DetectionCode0
Diverse super-resolution with pretrained deep hiererarchical VAEs—0
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling—0
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation—0
Semantically Accurate Super-Resolution Generative Adversarial Networks—0
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review—0
Nearly optimal resolution estimate for the two-dimensional super-resolution and a new algorithm for direction of arrival estimation with uniform rectangular array—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified