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 1076–1100 of 3874 papers

TitleStatusHype
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-ResolutionCode0
Multi-scale super-resolution generation of low-resolution scanned pathological imagesCode0
Blind Super-Resolution Kernel Estimation using an Internal-GANCode0
Multi-scale deep neural networks for real image super-resolutionCode0
Multi-scale Residual Network for Image Super-ResolutionCode0
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 imagesCode0
DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth CompletionCode0
DFU: scale-robust diffusion model for zero-shot super-resolution image generationCode0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
Multimodal Sensor Fusion In Single Thermal image Super-ResolutionCode0
Multi-Objective Reinforced Evolution in Mobile Neural Architecture SearchCode0
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object RepresentationCode0
Multi-level Wavelet-CNN for Image RestorationCode0
Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-ResolutionCode0
Multi-level Wavelet Convolutional Neural NetworksCode0
Multi Kernel Estimation based Object SegmentationCode0
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled DictionariesCode0
Detecting Overfitting of Deep Generative Networks via Latent RecoveryCode0
Detail-revealing Deep Video Super-resolutionCode0
Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-ResolutionCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
Multigrid Backprojection Super-Resolution and Deep Filter VisualizationCode0
Depth Super-Resolution Meets Uncalibrated Photometric StereoCode0
Blind Image Fusion for Hyperspectral Imaging with the Directional Total VariationCode0
Multi-Modality Image Super-Resolution using Generative Adversarial NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified