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 401–450 of 3874 papers

TitleStatusHype
Enhanced Semantic Extraction and Guidance for UGC Image Super ResolutionCode1
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion ModelCode1
ERQA: Edge-Restoration Quality Assessment for Video Super-ResolutionCode1
ARM: Any-Time Super-Resolution MethodCode1
AutoGAN-Distiller: Searching to Compress Generative Adversarial NetworksCode1
EgoVSR: Towards High-Quality Egocentric Video Super-ResolutionCode1
Deep Learning-Based CKM Construction with Image Super-ResolutionCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
Context-self contrastive pretraining for crop type semantic segmentationCode1
Efficient Video Compression via Content-Adaptive Super-ResolutionCode1
Frequency Estimation Using Complex-Valued Shifted Window TransformerCode1
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS DataCode1
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-ResolutionCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolutionCode1
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and ReconstructionCode1
Deep Model-Based Super-Resolution with Non-uniform BlurCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
BAM: A Balanced Attention Mechanism for Single Image Super ResolutionCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Conffusion: Confidence Intervals for Diffusion ModelsCode1
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-ResolutionCode1
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and ReconstructionCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-ResolutionCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Generalized Real-World Super-Resolution through Adversarial RobustnessCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Deep Unfolding Network for Image Super-ResolutionCode1
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-ResolutionCode1
Conditional Variational Diffusion ModelsCode1
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale LearningCode1
Transformer for Single Image Super-ResolutionCode1
DeFMO: Deblurring and Shape Recovery of Fast Moving ObjectsCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical SystemsCode1
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
Best-Buddy GANs for Highly Detailed Image Super-ResolutionCode1
Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real WorldCode1
Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-ResolutionCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image DenoisingCode1
A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net DiscriminatorsCode1
Conditional Hyper-Network for Blind Super-Resolution with Multiple DegradationsCode1
Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-ResolutionCode1
Computing Multiple Image Reconstructions with a Single HypernetworkCode1
Show:102550
← PrevPage 9 of 78Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified