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 1601–1625 of 3874 papers

TitleStatusHype
Hyperspectral Image Super-Resolution With Optimized RGB GuidanceCode0
Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representationsCode0
3DAttGAN: A 3D Attention-based Generative Adversarial Network for Joint Space-Time Video Super-ResolutionCode0
Hybrid Residual Attention Network for Single Image Super ResolutionCode0
Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising ModelCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Hybrid Function Sparse Representation towards Image Super ResolutionCode0
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-ResolutionCode0
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-ResolutionCode0
I^3Net: Inter-Intra-slice Interpolation Network for Medical Slice SynthesisCode0
HR-INR: Continuous Space-Time Video Super-Resolution via Event CameraCode0
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopyCode0
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorCode0
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-ResolutionCode0
High-throughput, high-resolution registration-free generated adversarial network microscopyCode0
High-Resolution GAN Inversion for Degraded Images in Large Diverse DatasetsCode0
An Efficient Network Design for Face Video Super-resolutionCode0
DiTBN: Detail Injection-Based Two-Branch Network for Pansharpening of Remote Sensing ImagesCode0
High-Quality Face Image SR Using Conditional Generative Adversarial NetworksCode0
HiTSR: A Hierarchical Transformer for Reference-based Super-ResolutionCode0
HSTR-Net: High Spatio-Temporal Resolution Video Generation For Wide Area SurveillanceCode0
Distortion-aware super-resolution for planetary exploration imagesCode0
Distilling the Knowledge from Conditional Normalizing FlowsCode0
Brain MRI super-resolution using 3D generative adversarial networksCode0
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imagingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified