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 1826–1850 of 3874 papers

TitleStatusHype
Lightweight Spatial-Channel Adaptive Coordination of Multilevel Refinement Enhancement Network for Image Reconstruction—0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
Inductive Matrix Completion and Root-MUSIC-Based Channel Estimation for Intelligent Reflecting Surface (IRS)-Aided Hybrid MIMO Systems—0
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution ReconstructionCode1
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT—0
Realistic Hair Synthesis with Generative Adversarial Networks—0
OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality AssessmentCode0
A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics—0
Generative Adversarial Super-Resolution at the Edge with Knowledge DistillationCode1
Magnitude-image based data-consistent deep learning method for MRI super resolution—0
Video Restoration with a Deep Plug-and-Play Prior—0
Deep filter bank regression for super-resolution of anisotropic MR brain images—0
Time-domain speech super-resolution with GAN based modeling for telephony speaker verification—0
Quasi-supervised Learning for Super-resolution PETCode0
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noiseCode0
XCAT -- Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation—0
ELSR: Extreme Low-Power Super Resolution Network For Mobile DevicesCode0
Joint Learning Content and Degradation Aware Feature for Blind Super-ResolutionCode1
Laplacian Pyramid-like AutoencoderCode0
3D Super-Resolution Ultrasound with Adaptive Weight-Based Beamforming—0
DSR: Towards Drone Image Super-ResolutionCode1
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-ResolutionCode1
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow ModelsCode0
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-ExemplarsCode1
Sliding Window Recurrent Network for Efficient Video Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified