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 851–900 of 3874 papers

TitleStatusHype
Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual LossCode2
Super-Resolution Analysis for Landfill Waste Classification—0
RefQSR: Reference-based Quantization for Image Super-Resolution Networks—0
Video Interpolation with Diffusion Models—0
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRFCode1
DRCT: Saving Image Super-resolution away from Information BottleneckCode3
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Exploiting Self-Supervised Constraints in Image Super-ResolutionCode1
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising—0
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D—0
Ship in Sight: Diffusion Models for Ship-Image Super ResolutionCode1
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network—0
Masked Autoencoders are PDE LearnersCode0
Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections—0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion ModelCode2
Self-STORM: Deep Unrolled Self-Supervised Learning for Super-Resolution MicroscopyCode0
A Study in Dataset Pruning for Image Super-Resolution—0
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution—0
Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-ResolutionCode0
Residual Dense Swin Transformer for Continuous Depth-Independent Ultrasound ImagingCode1
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)—0
CFAT: Unleashing TriangularWindows for Image Super-resolutionCode2
Adaptive Super Resolution For One-Shot Talking-Head GenerationCode2
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified