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 2326–2350 of 3874 papers

TitleStatusHype
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
Hazy Low-Quality Satellite Video Restoration Via Learning Optimal Joint Degradation Patterns and Continuous-Scale Super-Resolution Reconstruction—0
HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models—0
Hero-SR: One-Step Diffusion for Super-Resolution with Human Perception Priors—0
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution—0
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution—0
Hierarchy-Aware and Channel-Adaptive Semantic Communication for Bandwidth-Limited Data Fusion—0
High Dynamic Range and Super-Resolution from Raw Image Bursts—0
Higher-order MRFs based image super resolution: why not MAP?—0
High-Frequency aware Perceptual Image Enhancement—0
HIGHLY EFFICIENT 8-BIT LOW PRECISION INFERENCE OF CONVOLUTIONAL NEURAL NETWORKS—0
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network—0
High-quality Speech Synthesis Using Super-resolution Mel-Spectrogram—0
High Resolution 3D Shape Texture from Multiple Videos—0
High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution—0
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss—0
High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging—0
High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage—0
High-Resolution WiFi Imaging with Reconfigurable Intelligent Surfaces—0
High-Similarity-Pass Attention for Single Image Super-Resolution—0
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor—0
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution—0
Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution—0
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified