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 1826–1850 of 3874 papers

TitleStatusHype
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements—0
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence—0
Joint Range-Velocity-Azimuth Estimation for OFDM-Based Integrated Sensing and Communication—0
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields—0
SPIRE: Semantic Prompt-Driven Image Restoration—0
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
CartoMark: a benchmark dataset for map pattern recognition and 1 map content retrieval with machine intelligence—0
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements—0
EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset—0
CoIE: Chain-of-Instruct Editing for Multi-Attribute Face Manipulation—0
Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image InformationCode0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning PriorCode0
Photorealistic Video Generation with Diffusion Models—0
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-ResolutionCode0
Precipitation Downscaling with Spatiotemporal Video Diffusion—0
Transformer-based Selective Super-Resolution for Efficient Image RefinementCode0
AniRes2D: Anisotropic Residual-enhanced Diffusion for 2D MR Super-Resolution—0
Generative Powers of Ten—0
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network—0
TMSR: Tiny Multi-path CNNs for Super Resolution—0
J-Net: Improved U-Net for Terahertz Image Super-Resolution—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified