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 3201–3250 of 3874 papers

TitleStatusHype
Training Set Effect on Super Resolution for Automated Target Recognition—0
Facial Expression Restoration Based on Improved Graph Convolutional Networks—0
Hyperspectral Super-resolution: A Coupled Nonnegative Block-term Tensor Decomposition Approach—0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Component Attention Guided Face Super-Resolution Network: CAGFaceCode0
Multimodal Image Super-resolution via Deep Unfolding with Side Information—0
Image Deconvolution with Deep Image and Kernel Priors—0
Translation position extracting in incoherent Fourier ptychography—0
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference—0
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference—0
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-ResolutionCode0
Image Super-Resolution via Attention based Back Projection NetworksCode0
Wavelet Domain Style Transfer for an Effective Perception-distortion Tradeoff in Single Image Super-ResolutionCode0
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion—0
Unsupervised Image Super-Resolution with an Indirect Supervised Path—0
Image Super-Resolution Improved by Edge InformationCode0
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection—0
Kernel Modeling Super-Resolution on Real Low-Resolution ImagesCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Deep learning at scale for subgrid modeling in turbulent flows—0
Deep Blind Hyperspectral Image Fusion—0
Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution—0
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal CorrelationsCode0
Super-resolution photoacoustic and ultrasound imaging with sparse arrays—0
Coarse-to-Fine Registration of Airborne LiDAR Data and Optical Imagery on Urban Scenes—0
Unsupervised Projection Networks for Generative Adversarial Networks—0
Frame and Feature-Context Video Super-Resolution—0
Learning to Have an Ear for Face Super-Resolution—0
Multi-grained Attention Networks for Single Image Super-Resolution—0
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"—0
Optimal Transport driven CycleGAN for Unsupervised Learning in Inverse Problems—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
Pixel Co-Occurence Based Loss Metrics for Super Resolution Texture Recovery—0
Relative Pixel Prediction For Autoregressive Image Generation—0
Efficient Residual Dense Block Search for Image Super-ResolutionCode0
Deformable Non-local Network for Video Super-ResolutionCode0
Enhancing Traffic Scene Predictions with Generative Adversarial Networks—0
s-LWSR: Super Lightweight Super-Resolution NetworkCode0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme—0
Unsupervised Learning for Real-World Super-Resolution—0
Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision—0
Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network—0
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator—0
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise ModulationsCode0
Blind Super-Resolution Kernel Estimation using an Internal-GANCode0
Phase Retrieval using Untrained Neural Network Priors—0
Edge-Informed Single Image Super-ResolutionCode0
Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors—0
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR VideoCode0
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified