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

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Showing 1351–1400 of 3874 papers

TitleStatusHype
Global Stress Generation and Spatiotemporal Super-Resolution Physics-Informed Operator under Dynamic Loading for Two-Phase Random Materials—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
GRAN: Ghost Residual Attention Network for Single Image Super Resolution—0
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions—0
A Boosting Method to Face Image Super-resolution—0
Augmenting Perceptual Super-Resolution via Image Quality Predictors—0
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization—0
Deep Artifact-Free Residual Network for Single Image Super-Resolution—0
Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling—0
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction—0
Global graph features unveiled by unsupervised geometric deep learning—0
Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow—0
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models—0
Decoupling Multi-Contrast Super-Resolution: Pairing Unpaired Synthesis with Implicit Representations—0
AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolution—0
AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth—0
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems—0
MARS: Radio Map Super-resolution and Reconstruction Method under Sparse Channel Measurements—0
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution—0
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution—0
Deconvolution with a Box—0
Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning—0
A two-stage 3D Unet framework for multi-class segmentation on full resolution image—0
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics—0
Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction—0
AI-assisted super-resolution cosmological simulations—0
Debiased Subjective Assessment of Real-World Image Enhancement—0
Super-resolution of Time-series Labels for Bootstrapped Event Detection—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-Resolution—0
Attention-Guided Multi-scale Interaction Network for Face Super-Resolution—0
A Hybrid Registration and Fusion Method for Hyperspectral Super-resolution—0
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations—0
DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior—0
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution—0
DCIL: Deep Contextual Internal Learning for Image Restoration and Image Retargeting—0
A hybrid approach of interpolations and CNN to obtain super-resolution—0
CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images—0
Global-Local Face Upsampling Network—0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
Harnessing Sparsity over the Continuum: Atomic Norm Minimization for Super Resolution—0
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images—0
Attention-based Image Upsampling—0
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression—0
Attention-Aware Face Hallucination via Deep Reinforcement Learning—0
Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
A HVS-inspired Attention to Improve Loss Metrics for CNN-based Perception-Oriented Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified