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 2301–2325 of 3874 papers

TitleStatusHype
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
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
Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays—0
Gridless Tomographic SAR Imaging Based on Accelerated Atomic Norm Minimization with Efficiency—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
Guided Frequency Loss for Image Restoration—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—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
Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation—0
Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified