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 1851–1875 of 3874 papers

TitleStatusHype
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution—0
FAN: Frequency Aggregation Network for Real Image Super-resolution—0
Large coordinate kernel attention network for lightweight image super-resolution—0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization—0
In-situ monitoring additive manufacturing process with AI edge computing—0
Context Reasoning Attention Network for Image Super-Resolution—0
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution—0
Fair Primal Dual Splitting Method for Image Inverse Problems—0
Integrated Super-resolution Sensing and Symbiotic Communication with 3D Sparse MIMO for Low-Altitude UAV Swarm—0
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Interactive Image Manipulation with Complex Text Instructions—0
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution—0
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning—0
Interpretable Deep Multimodal Image Super-Resolution—0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
Interpretable Super-Resolution via a Learned Time-Series Representation—0
Interpreting Super-Resolution Networks with Local Attribution Maps—0
Content-Aware Local GAN for Photo-Realistic Super-Resolution—0
FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution—0
Facial Expression Restoration Based on Improved Graph Convolutional Networks—0
Inter-Task Association Critic for Cross-Resolution Person Re-Identification—0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
Show:102550
← PrevPage 75 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified