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 1851–1875 of 3874 papers

TitleStatusHype
Sliding Window Recurrent Network for Efficient Video Super-ResolutionCode1
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and ResultsCode2
Time-lapse image classification using a diffractive neural network—0
Towards Robust Drone Vision in the Wild—0
HST: Hierarchical Swin Transformer for Compressed Image Super-resolutionCode1
Trustworthy modelling of atmospheric formaldehyde powered by deep learning—0
Extreme-scale Talking-Face Video Upsampling with Audio-Visual PriorsCode0
Multi-dimensional topological loss for cortical plate segmentation in fetal brain MRI—0
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of MarsCode0
Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA—0
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping—0
Learning Degradation Representations for Image DeblurringCode1
G-PCC Post-Processing Using Fractional Super-Resolution—0
Hard-Constrained Deep Learning for Climate DownscalingCode1
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolutionCode1
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-ResolutionCode1
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGANCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-ResolutionCode1
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System—0
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution—0
Online Video Super-Resolution with Convolutional Kernel Bypass Graft—0
Pyramidal Denoising Diffusion Probabilistic Models—0
Physics-informed Deep Super-resolution for Spatiotemporal DataCode1
Robust Real-World Image Super-Resolution against Adversarial AttacksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified