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 876–900 of 3874 papers

TitleStatusHype
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
Efficient scene text image super-resolution with semantic guidanceCode1
A Wideband Distributed Massive MIMO Channel Sounder for Communication and Sensing—0
PAON: A New Neuron Model using Padé Approximants—0
VmambaIR: Visual State Space Model for Image RestorationCode3
CasSR: Activating Image Power for Real-World Image Super-Resolution—0
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-ResolutionCode1
Boosting Flow-based Generative Super-Resolution Models via Learned PriorCode2
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models—0
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-ResolutionCode1
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint—0
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder—0
SemanticHuman-HD: High-Resolution Semantic Disentangled 3D Human Generation—0
FeatUp: A Model-Agnostic Framework for Features at Any ResolutionCode5
Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction—0
Activating Wider Areas in Image Super-ResolutionCode1
PFStorer: Personalized Face Restoration and Super-Resolution—0
Learning Hierarchical Color Guidance for Depth Map Super-Resolution—0
Efficient Diffusion Model for Image Restoration by Residual ShiftingCode5
Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution—0
Show:102550
← PrevPage 36 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified