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 3751–3800 of 3874 papers

TitleStatusHype
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space—0
The Little Engine that Could: Regularization by Denoising (RED)Code0
Super-resolution estimation of cyclic arrival rates—0
Compressive Holographic Video—0
Amortised MAP Inference for Image Super-resolution—0
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints—0
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
Wavelet-Based Segmentation on the Sphere—0
Transport-based analysis, modeling, and learning from signal and data distributions—0
A Boosting Method to Face Image Super-resolution—0
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution—0
Constraint matrix factorization for space variant PSFs field restorationCode0
New wavelet-based superresolution algorithm for speckle reduction in SAR images—0
A Deep Primal-Dual Network for Guided Depth Super-Resolution—0
ATGV-Net: Accurate Depth Super-Resolution—0
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks—0
Generic 3D Convolutional Fusion for image restoration—0
Local- and Holistic- Structure Preserving Image Super Resolution via Deep Joint Component Learning—0
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling—0
Deep Depth Super-Resolution : Learning Depth Super-Resolution using Deep Convolutional Neural Network—0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Scalable image coding based on epitomes—0
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior—0
RAISR: Rapid and Accurate Image Super Resolution—0
PSyCo: Manifold Span Reduction for Super Resolution—0
Needle-Match: Reliable Patch Matching Under High Uncertainty—0
Semantic-Aware Depth Super-Resolution in Outdoor Scenes—0
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks—0
Plug-and-Play ADMM for Image Restoration: Fixed Point Convergence and Applications—0
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution—0
Some medical applications of example-based super-resolution—0
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution—0
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution—0
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip ConnectionsCode0
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos—0
Global-Local Face Upsampling Network—0
Con-Patch: When a Patch Meets its Context—0
Image Super-Resolution Based on Sparsity Prior via Smoothed l_0 Norm—0
Patch-Ordering as a Regularization for Inverse Problems in Image ProcessingCode0
Structured illumination microscopy image reconstruction algorithmCode0
Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization—0
Studying Very Low Resolution Recognition Using Deep Networks—0
Matrix Neural Networks—0
Matrix Variate RBM and Its Applications—0
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection—0
Face Hallucination using Linear Models of Coupled Sparse Support—0
Double Sparse Multi-Frame Image Super Resolution—0
Rolling Shutter Super-Resolution—0
Video Super-Resolution via Deep Draft-Ensemble Learning—0
Conditioned Regression Models for Non-Blind Single Image Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified