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

Showing 15511575 of 3874 papers

TitleStatusHype
EarthGen: Generating the World from Top-Down ViewsCode0
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical RectificationCode0
Image Super-Resolution Using a Wavelet-based Generative Adversarial NetworkCode0
E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information FlowCode0
Image Super-Resolution by Neural Texture TransferCode0
Image Super-Resolution Improved by Edge InformationCode0
Dynamic Structured Illumination Microscopy with a Neural Space-time ModelCode0
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument InterfaceCode0
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip ConnectionsCode0
Image Super-Resolution as a Defense Against Adversarial AttacksCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Image Super-Resolution via RL-CSC: When Residual Learning Meets Convolutional Sparse CodingCode0
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time seriesCode0
Image Reconstruction with Predictive Filter FlowCode0
Image quality measurements and denoising using Fourier Ring CorrelationsCode0
Image-Adaptive GAN based ReconstructionCode0
DWA: Differential Wavelet Amplifier for Image Super-ResolutionCode0
Camera Lens Super-ResolutionCode0
Image Formation Model Guided Deep Image Super-ResolutionCode0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
I^3Net: Inter-Intra-slice Interpolation Network for Medical Slice SynthesisCode0
IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-ResolutionCode0
Decoupling Fine Detail and Global Geometry for Compressed Depth Map Super-ResolutionCode0
Dual-Stream Fusion Network for Spatiotemporal Video Super-ResolutionCode0
Hyperspectral Super-Resolution via Global-Local Low-Rank Matrix EstimationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41Unverified