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 811–820 of 3874 papers

TitleStatusHype
Burst Image Restoration and EnhancementCode1
Large Kernel Distillation Network for Efficient Single Image Super-ResolutionCode1
Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion ModelsCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GANCode1
HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher ResolutionCode1
Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark EstimationCode1
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Hierarchical Neural Architecture Search for Single Image Super-ResolutionCode1
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-ResolutionCode1
Show:102550
← PrevPage 82 of 388Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified