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

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Showing 1851–1900 of 3874 papers

TitleStatusHype
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix—0
Learning-Based and Quality Preserving Super-Resolution of Noisy Images—0
A Scale-Arbitrary Image Super-Resolution Network Using Frequency-domain Information—0
AsConvSR: Fast and Lightweight Super-Resolution Network with Assembled Convolutions—0
FAST: A Framework to Accelerate Super-Resolution Processing on Compressed Videos—0
In-situ monitoring additive manufacturing process with AI edge computing—0
Continual Learning-Aided Super-Resolution Scheme for Channel Reconstruction and Generalization in OFDM Systems—0
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution—0
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging—0
Integrated Super-resolution Sensing and Symbiotic Communication with 3D Sparse MIMO for Low-Altitude UAV Swarm—0
3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution—0
Interactive Image Manipulation with Complex Text Instructions—0
Deformable Kernel Convolutional Network for Video Extreme Super-Resolution—0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution—0
Interpretable Deep Multimodal Image Super-Resolution—0
FAN: Frequency Aggregation Network for Real Image Super-resolution—0
Interpretable Super-Resolution via a Learned Time-Series Representation—0
Interpreting Super-Resolution Networks with Local Attribution Maps—0
Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer—0
Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning—0
Learning a Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution—0
Inter-Task Association Critic for Cross-Resolution Person Re-Identification—0
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization—0
InverseNet: Solving Inverse Problems with Splitting Networks—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
Strict Enforcement of Conservation Laws and Invertibility in CNN-Based Super Resolution for Scientific Datasets—0
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution—0
Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video—0
Investigating the Feasibility of Patch-based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images—0
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning—0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution—0
Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution—0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
Iris super-resolution using CNNs: is photo-realism important to iris recognition?—0
Content-Aware Local GAN for Photo-Realistic Super-Resolution—0
Bi-Noising Diffusion: Towards Conditional Diffusion Models with Generative Restoration Priors—0
FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution—0
Facial Expression Restoration Based on Improved Graph Convolutional Networks—0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
A Robust Super-resolution Gridless Imaging Framework for UAV-borne SAR Tomography—0
A Comprehensive Review of Deep Learning-based Single Image Super-resolution—0
Facial Attribute Capsules for Noise Face Super Resolution—0
Is There Any Recovery Guarantee with Coupled Structured Matrix Factorization for Hyperspectral Super-Resolution?—0
Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?—0
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified