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 2751–2800 of 3874 papers

TitleStatusHype
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results—0
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions—0
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions—0
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks—0
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime—0
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution—0
A survey of machine learning-based physics event generation—0
Fourier Space Losses for Efficient Perceptual Image Super-Resolution—0
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising—0
Pixel super-resolved lensless on-chip sensor with scattering multiplexing—0
Self-Organized Residual Blocks for Image Super-Resolution—0
Cascaded Diffusion Models for High Fidelity Image Generation—0
Deep Hierarchical Super Resolution for Scientific Data—0
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding—0
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification—0
High-Frequency aware Perceptual Image Enhancement—0
Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution—0
Unpaired Depth Super-Resolution in the WildCode0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
Combining Transformer Generators with Convolutional Discriminators—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
XCycles Backprojection Acoustic Super-Resolution—0
Improved detection of small objects in road network sequences—0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
Automated Symbolic Law Discovery: A Computer Vision Approach—0
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report—0
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer—0
Capsule GAN for Prostate MRI Super-Resolution—0
Multi-scale super-resolution generation of low-resolution scanned pathological imagesCode0
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution—0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution—0
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images—0
DPSRGAN: Dilation Patch Super-Resolution Generative Adversarial NetworksCode0
Analog Neural Computing with Super-resolution Memristor Crossbars—0
Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation—0
COMISR: Compression-Informed Video Super-ResolutionCode0
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics—0
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning—0
NTIRE 2021 Challenge on Video Super-Resolution—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy—0
Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging—0
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution—0
Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy—0
Kernel Adversarial Learning for Real-world Image Super-resolution—0
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS—0
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging—0
VSpSR: Explorable Super-Resolution via Variational Sparse Representation—0
Multitask Learning for VVC Quality Enhancement and Super-Resolution—0
Show:102550
← PrevPage 56 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified