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 1401–1450 of 3874 papers

TitleStatusHype
Distribution-Flexible Subset Quantization for Post-Quantizing Super-Resolution NetworksCode1
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
Integrated Super-Resolution Sensing and Communication with 5G NR Waveform: Signal Processing with Uneven CPs and Experiments—0
Deep Learning and Image Super-Resolution-Guided Beam and Power Allocation for mmWave Networks—0
SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate ReductionCode0
Detecting disruption of HER2 membrane protein organization in cell membranes with nanoscale precision—0
Neural Architecture Search for Intel Movidius VPU—0
Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising—0
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions—0
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution—0
GCRDN: Global Context-Driven Residual Dense Network for Remote Sensing Image SuperresolutionCode1
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features—0
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution—0
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument InterfaceCode0
Bicubic++: Slim, Slimmer, Slimmest -- Designing an Industry-Grade Super-Resolution NetworkCode2
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar ImagingCode1
Deep Learning-Assisted Simultaneous Targets Sensing and Super-Resolution Imaging—0
Self-similarity-based super-resolution of photoacoustic angiography from hand-drawn doodlesCode1
Self-supervised arbitrary scale super-resolution framework for anisotropic MRI—0
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance RegularizationCode0
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning—0
Enhancing Video Super-Resolution via Implicit Resampling-based AlignmentCode2
Super-NeRF: View-consistent Detail Generation for NeRF super-resolution—0
OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution—0
GlyphDiffusion: Text Generation as Image Generation—0
SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge—0
On the Use of Singular Value Decomposition as a Clutter Filter for Ultrasound Flow Imaging—0
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement—0
Ultra Sharp : Study of Single Image Super Resolution using Residual Dense NetworkCode0
Omni Aggregation Networks for Lightweight Image Super-ResolutionCode2
Revisiting Implicit Neural Representations in Low-Level VisionCode1
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and ResultsCode1
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization—0
StyleDEM: a Versatile Model for Authoring Terrains—0
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion ModelsCode1
Quantum Annealing for Single Image Super-Resolution—0
Learning-based Framework for US Signals Super-resolution—0
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion ModelsCode2
Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion—0
DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution—0
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B ImageryCode1
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
A Comprehensive Comparison of Projections in Omnidirectional Super-Resolution—0
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
Local-Global Temporal Difference Learning for Satellite Video Super-ResolutionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified