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 1726–1750 of 3874 papers

TitleStatusHype
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)—0
Time-series Initialization and Conditioning for Video-agnostic Stabilization of Video Super-Resolution using Recurrent Networks—0
Deep Generative Model based Rate-Distortion for Image Downscaling AssessmentCode0
Hyperspectral Neural Radiance Fields—0
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping—0
Using Super-Resolution Imaging for Recognition of Low-Resolution Blurred License Plates: A Comparative Study of Real-ESRGAN, A-ESRGAN, and StarSRGAN—0
A Wideband Distributed Massive MIMO Channel Sounder for Communication and Sensing—0
PAON: A New Neuron Model using Padé Approximants—0
CasSR: Activating Image Power for Real-World Image Super-Resolution—0
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint—0
SemanticHuman-HD: High-Resolution Semantic Disentangled 3D Human Generation—0
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models—0
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder—0
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction—0
PFStorer: Personalized Face Restoration and Super-Resolution—0
Learning Hierarchical Color Guidance for Depth Map Super-Resolution—0
Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution—0
Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution—0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution—0
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning—0
UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images—0
Text-guided Explorable Image Super-resolution—0
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution—0
LoLiSRFlow: Joint Single Image Low-light Enhancement and Super-resolution via Cross-scale Transformer-based Conditional Flow—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified