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 726–750 of 3874 papers

TitleStatusHype
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutionCode1
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal LearningCode1
Cross-View Hierarchy Network for Stereo Image Super-ResolutionCode1
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-ResolutionCode1
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image FusionCode1
Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model InferenceCode1
Invertible Image RescalingCode1
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-ResolutionCode1
Exploiting Self-Supervised Constraints in Image Super-ResolutionCode1
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed TomographyCode1
Action Matching: Learning Stochastic Dynamics from SamplesCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile DevicesCode1
Asymmetric CNN for image super-resolutionCode1
Face Hallucination via Split-Attention in Split-Attention NetworkCode1
Face Super-Resolution Using Stochastic Differential EquationsCode1
Face Super-Resolution Through Wasserstein GANsCode1
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large InputCode1
C3-STISR: Scene Text Image Super-resolution with Triple CluesCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
Adaptive Convolutional Neural Network for Image Super-resolutionCode1
CVAE-GAN: Fine-Grained Image Generation through Asymmetric TrainingCode1
A heterogeneous group CNN for image super-resolutionCode1
Deep Audio Waveform PriorCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
Show:102550
← PrevPage 30 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified