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 2826–2850 of 3874 papers

TitleStatusHype
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
Texture-Based Error Analysis for Image Super-Resolution—0
Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution—0
Texture Hallucination for Large-Factor Painting Super-Resolution—0
TextureWGAN: Texture Preserving WGAN with MLE Regularizer for Inverse Problems—0
The Domain Transform Solver—0
The End Restraint Method for Mechanically Perturbing Nucleic Acids in silico—0
Medical Image Super-Resolution Using a Generative Adversarial Network—0
Theoretical Perspectives on Deep Learning Methods in Inverse Problems—0
Theory of Generative Deep Learning : Probe Landscape of Empirical Error via Norm Based Capacity Control—0
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
The Power of Context: How Multimodality Improves Image Super-Resolution—0
ThermalNeRF: Thermal Radiance Fields—0
Thermodynamics-informed super-resolution of scarce temporal dynamics data—0
Thermographic detection of internal defects using 2D photothermal super resolution reconstruction with sequential laser heating—0
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC—0
Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks—0
Three more Decades in Array Signal Processing Research: An Optimization and Structure Exploitation Perspective—0
Time accelerated image super-resolution using shallow residual feature representative network—0
Time-domain speech super-resolution with GAN based modeling for telephony speaker verification—0
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network—0
Time-lapse image classification using a diffractive neural network—0
Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networks—0
SPIRE: Semantic Prompt-Driven Image Restoration—0
TMSR: Tiny Multi-path CNNs for Super Resolution—0
Show:102550
← PrevPage 114 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified