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 251–275 of 3874 papers

TitleStatusHype
Geodesic Diffusion Models for Medical Image-to-Image GenerationCode2
MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks—0
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization—0
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems—0
BadRefSR: Backdoor Attacks Against Reference-based Image Super ResolutionCode0
InspireMusic: Integrating Super Resolution and Large Language Model for High-Fidelity Long-Form Music GenerationCode5
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
MFSR-GAN: Multi-Frame Super-Resolution with Handheld Motion Modeling—0
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery—0
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-ResolutionCode1
Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis—0
MambaLiteSR: Image Super-Resolution with Low-Rank Mamba using Knowledge Distillation—0
End-to-end pipeline for simultaneous temperature estimation and super resolution of low-cost uncooled infrared camera frames for precision agriculture applications—0
Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study—0
VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution—0
Super Resolution image reconstructs via total variation-based image deconvolution: a majorization-minimization approach—0
Do Deepfake Detectors Work in Reality?—0
Data-driven Super-Resolution of Flood Inundation Maps using Synthetic SimulationsCode0
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
Heterogeneous Mixture of Experts for Remote Sensing Image Super-ResolutionCode1
Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks—0
Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation—0
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified