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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2426–2450 of 3874 papers

TitleStatusHype
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