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 2651–2700 of 3874 papers

TitleStatusHype
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and SynthesisCode0
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student LearningCode0
ParaDiS: Parallelly Distributable Slimmable Neural Networks—0
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution—0
Cross-Domain Lossy Compression as Optimal Transport with an Entropy Bottleneck—0
TPU-GAN: Learning temporal coherence from dynamic point cloud sequencesCode0
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning—0
Learning From Unpaired Data: A Variational Bayes Approach—0
Neural Knitworks: Patched Neural Implicit Representation Networks—0
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network—0
An Efficient Network Design for Face Video Super-resolutionCode0
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor—0
Model reduction for the material point method via an implicit neural representation of the deformation map—0
DEM Super-Resolution with EfficientNetV2—0
TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs—0
Towards Representation Learning for Atmospheric DynamicsCode0
Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics—0
WiSoSuper: Benchmarking Super-Resolution Methods on Wind and Solar Data—0
Resolution based Feature Distillation for Cross Resolution Person Re-Identification—0
TANet: A new Paradigm for Global Face Super-resolution via Transformer-CNN Aggregation Network—0
Application of Video-to-Video Translation Networks to Computational Fluid Dynamics—0
Toward Real-World Super-Resolution via Adaptive Downsampling Models—0
Mid-wave infrared super-resolution imaging based on compressive calibration and sampling—0
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks—0
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds—0
FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom—0
Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution—0
Super-resolution data assimilation—0
Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction—0
Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN—0
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution—0
Attention-based Multi-Reference Learning for Image Super-ResolutionCode0
Super-Resolution Appearance Transfer for 4D Human Performances—0
The End Restraint Method for Mechanically Perturbing Nucleic Acids in silico—0
Multi-Attributed and Structured Text-to-Face Synthesis—0
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search—0
Temporal Kernel Consistency for Blind Video Super-Resolution—0
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets—0
End-to-End Adaptive Monte Carlo Denoising and Super-Resolution—0
Seirios: Leveraging Multiple Channels for LoRaWAN Indoor and Outdoor Localization—0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration—0
Efficient Light Field Reconstruction via Spatio-Angular Dense NetworkCode0
Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution—0
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
Del-Net: A Single-Stage Network for Mobile Camera ISP—0
Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive FieldsCode0
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention—0
Improving Multi-View Stereo via Super-Resolution—0
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified