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 3301–3350 of 3874 papers

TitleStatusHype
Medical image super-resolution method based on dense blended attention network—0
Zoom To Learn, Learn To ZoomCode1
Ensemble Super-Resolution with A Reference DatasetCode0
A Cone-Beam X-Ray CT Data Collection designed for Machine LearningCode0
Handheld Multi-Frame Super-ResolutionCode0
EDVR: Video Restoration with Enhanced Deformable Convolutional NetworksCode1
Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution—0
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution PipelineCode0
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning—0
SinGAN: Learning a Generative Model from a Single Natural ImageCode1
Joint High Dynamic Range Imaging and Super-Resolution from a Single ImageCode0
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation—0
Multi-level Encoder-Decoder Architectures for Image Restoration—0
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN—0
Label super-resolution networks—0
Understanding Opportunities for Efficiency in Single-image Super Resolution Networks—0
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS—0
An approach to image denoising using manifold approximation without clean images—0
Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-NetCode0
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR ApplicationsCode0
Multi-scale deep neural networks for real image super-resolutionCode0
Super-Resolved Image Perceptual Quality Improvement via Multi-Feature Discriminators—0
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks—0
Deep Likelihood Network for Image Restoration with Multiple Degradation Levels—0
Feature Forwarding for Efficient Single Image DehazingCode0
Process of image super-resolution—0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
A Deep Journey into Super-resolution: A surveyCode0
Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images—0
MAANet: Multi-view Aware Attention Networks for Image Super-ResolutionCode0
Evaluating Robustness of Deep Image Super-Resolution against Adversarial AttacksCode0
Difficulty-aware Image Super Resolution via Deep Adaptive Dual-NetworkCode0
Label Super Resolution with Inter-Instance Loss—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
Camera Lens Super-ResolutionCode0
Blind Super-Resolution With Iterative Kernel CorrectionCode0
Fast Spatio-Temporal Residual Network for Video Super-Resolution—0
Controlling Neural Networks via Energy Dissipation—0
Deep Back-Projection Networks for Single Image Super-resolutionCode0
Learning Implicit Generative Models by Matching Perceptual Features—0
Lightweight Image Super-Resolution with Adaptive Weighted Learning NetworkCode0
Guided Super-Resolution as Pixel-to-Pixel TransformationCode1
CFSNet: Toward a Controllable Feature Space for Image RestorationCode0
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model—0
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study—0
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution—0
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Computational structured illumination for high-content fluorescent and phase microscopy—0
Verification of Very Low-Resolution Faces Using An Identity-Preserving Deep Face Super-Resolution Network—0
Recurrent Back-Projection Network for Video Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified