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 3651–3675 of 3874 papers

TitleStatusHype
Temporal shape super-resolution by intra-frame motion encoding using high-fps structured light—0
Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks—0
One Network to Solve Them All -- Solving Linear Inverse Problems Using Deep Projection ModelsCode0
Wavelet-SRNet: A Wavelet-Based CNN for Multi-Scale Face Super Resolution—0
Multi-View Dynamic Shape Refinement Using Local Temporal Integration—0
Learning to Super-Resolve Blurry Face and Text Images—0
Anchored Regression Networks Applied to Age Estimation and Super Resolution—0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Robust Video Super-Resolution With Learned Temporal Dynamics—0
Light field super resolution through controlled micro-shifts of light field sensor—0
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled DictionariesCode0
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single ImageCode0
CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks—0
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence—0
Deep Mean-Shift Priors for Image RestorationCode0
Deep multi-frame face super-resolution—0
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach—0
Benchmarking Super-Resolution Algorithms on Real Data—0
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration—0
Joint Maximum Purity Forest with Application to Image Super-ResolutionCode0
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network—0
Sparsity-Based Super Resolution for SEM Images—0
Fast single image super-resolution based on sigmoid transformation—0
Structured illumination microscopy for dual-modality 3D sub-diffraction resolution fluorescence and refractive-index reconstruction—0
Attention-Aware Face Hallucination via Deep Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified