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 401–450 of 3874 papers

TitleStatusHype
LocalSR: Image Super-Resolution in Local Region—0
LossAgent: Towards Any Optimization Objectives for Image Processing with LLM AgentsCode0
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image—0
Deep priors for satellite image restoration with accurate uncertainties—0
RFSR: Improving ISR Diffusion Models via Reward Feedback LearningCode1
MTVNet: Mapping using Transformers for Volumes -- Network for Super-Resolution with Long-Range InteractionsCode0
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution—0
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA ApproachCode4
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution—0
TASR: Timestep-Aware Diffusion Model for Image Super-ResolutionCode1
CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution—0
SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial TranscriptomicsCode1
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion ModelsCode0
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion ModelsCode1
Auto-Encoded Supervision for Perceptual Image Super-ResolutionCode2
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion PriorCode0
Vision Mamba Distillation for Low-resolution Fine-grained Image ClassificationCode1
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-ResolutionCode3
HAAT: Hybrid Attention Aggregation Transformer for Image Super-Resolution—0
Perceptually Optimized Super Resolution—0
MAT: Multi-Range Attention Transformer for Efficient Image Super-ResolutionCode1
ΩSFormer: Dual-Modal Ω-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction—0
PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-ResolutionCode2
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task—0
ZoomLDM: Latent Diffusion Model for multi-scale image generationCode1
EPS: Efficient Patch Sampling for Video Overfitting in Deep Super-Resolution Model Training—0
High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution—0
FFT-Enhanced Low-Complexity Near-Field Super-Resolution Sensing—0
RTSR: A Real-Time Super-Resolution Model for AV1 Compressed Content—0
Adversarial Diffusion Compression for Real-World Image Super-ResolutionCode4
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-ResolutionCode0
Efficient Medicinal Image Transmission and Resolution Enhancement via GAN—0
Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-ResolutionCode2
Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-ResolutionCode0
S^3Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model—0
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution—0
A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShift—0
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements—0
DiffFNO: Diffusion Fourier Neural Operator—0
Performance Boundaries and Tradeoffs in Super-Resolution Imaging Technologies for Space Targets—0
LLV-FSR: Exploiting Large Language-Vision Prior for Face Super-resolution—0
GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising—0
On Adapting Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction—0
LapGSR: Laplacian Reconstructive Network for Guided Thermal Super-Resolution—0
Efficient Denoising Method to Improve The Resolution of Satellite Images—0
360-Degree Video Super Resolution and Quality Enhancement Challenge: Methods and Results—0
Expansion microscopy reveals neural circuit organization in genetic animal models—0
Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound—0
Evaluating Detection Thresholds: The Impact of False Positives and Negatives on Super-Resolution Ultrasound Localization Microscopy—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified