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 2031–2040 of 3874 papers

TitleStatusHype
NAFSSR: Stereo Image Super-Resolution Using NAFNetCode4
Semi-Supervised Super-Resolution—0
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
Fast and Memory-Efficient Network Towards Efficient Image Super-ResolutionCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimationCode0
Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography—0
GHM Wavelet Transform for Deep Image Super Resolution—0
Polynomial-time Sparse Measure Recovery: From Mean Field Theory to Algorithm DesignCode0
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks—0
Show:102550
← PrevPage 204 of 388Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified