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 3801–3850 of 3874 papers

TitleStatusHype
CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction—0
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution—0
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution—0
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution—0
Global graph features unveiled by unsupervised geometric deep learning—0
Dynamic Deep Learning Based Super-Resolution For The Shallow Water Equations—0
Global-Local Face Upsampling Network—0
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping—0
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution—0
Global Stress Generation and Spatiotemporal Super-Resolution Physics-Informed Operator under Dynamic Loading for Two-Phase Random Materials—0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
G-PCC Post-Processing Using Fractional Super-Resolution—0
Gradient-Free Adversarial Purification with Diffusion Models—0
DuCos: Duality Constrained Depth Super-Resolution via Foundation Model—0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds—0
GRAN: Ghost Residual Attention Network for Single Image Super Resolution—0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models—0
Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution—0
Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays—0
Gridless Tomographic SAR Imaging Based on Accelerated Atomic Norm Minimization with Efficiency—0
The Domain Transform Solver—0
Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution—0
Group Iterative Spectrum Thresholding for Super-Resolution Sparse Spectral Selection—0
Dual Recovery Network with Online Compensation for Image Super-Resolution—0
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution—0
Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution—0
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss—0
Dual Perceptual Loss for Single Image Super-Resolution Using ESRGAN—0
Guided Frequency Loss for Image Restoration—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
Dual-domain Modulation Network for Lightweight Image Super-Resolution—0
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution—0
Gull: A Generative Multifunctional Audio Codec—0
GUN: Gradual Upsampling Network for Single Image Super-Resolution—0
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System—0
HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution—0
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery—0
Handling Motion Blur in Multi-Frame Super-Resolution—0
Dual Circle Contrastive Learning-Based Blind Image Super-Resolution—0
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation—0
Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging—0
The End Restraint Method for Mechanically Perturbing Nucleic Acids in silico—0
Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution—0
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified