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 2401–2450 of 3874 papers

TitleStatusHype
Compressed Ultrasound Imaging:from Sub-Nyquist Rates to Super-Resolution—0
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data—0
Multi-Scale Feature Fusion using Channel Transformers for Guided Thermal Image Super Resolution—0
Multi-scale Image Super Resolution with a Single Auto-Regressive Model—0
Multi-Scale Implicit Transformer with Re-parameterize for Arbitrary-Scale Super-Resolution—0
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution—0
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras—0
TV-based Deep 3D Self Super-Resolution for fMRI—0
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness—0
Multispectral Compressive Imaging Strategies using Fabry-Pérot Filtered Sensors—0
Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineation—0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI—0
Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network—0
Hypernetwork functional image representation—0
Multitask Learning for VVC Quality Enhancement and Super-Resolution—0
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution—0
Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images—0
Multi-View Dynamic Shape Refinement Using Local Temporal Integration—0
Two-dimensional gridless super-resolution method for ISAR imaging—0
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model—0
Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content—0
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D—0
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results—0
MyStyle: A Personalized Generative Prior—0
N^2LoS: Single-Tag mmWave Backscatter for Robust Non-Line-of-Sight Localization—0
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution—0
Compound Attention and Neighbor Matching Network for Multi-contrast MRI Super-resolution—0
Naive Bayes Super-Resolution Forest—0
Nanoscopic distribution of VAChT and VGLUT3 in striatal cholinergic varicosities suggests colocalization and segregation of the two transporters in synaptic vesicles—0
Dynamic Attention-Guided Diffusion for Image Super-Resolution—0
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution—0
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution—0
UB-FineNet: Urban Building Fine-grained Classification Network for Open-access Satellite Images—0
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt—0
Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution—0
Nearly optimal resolution estimate for the two-dimensional super-resolution and a new algorithm for direction of arrival estimation with uniform rectangular array—0
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution—0
Needle-Match: Reliable Patch Matching Under High Uncertainty—0
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution—0
Composite Optimization by Nonconvex Majorization-Minimization—0
UDC: Unified DNAS for Compressible TinyML Models—0
Neural Architecture Search for Image Super-Resolution Using Densely Constructed Search Space: DeCoNAS—0
Neural Architecture Search for Intel Movidius VPU—0
Neural Differential Equations for Single Image Super-resolution—0
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions—0
Competition-based Adaptive ReLU for Deep Neural Networks—0
Compensation based Dictionary Transfer for Similar Multispectral Image Spectral Super-resolution—0
Neural Knitworks: Patched Neural Implicit Representation Networks—0
UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition—0
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified