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 2851–2900 of 3874 papers

TitleStatusHype
TomoSAR-ALISTA: Efficient TomoSAR Imaging via Deep Unfolded Network—0
Toward Efficient Deep Blind RAW Image Restoration—0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
Toward Moiré-Free and Detail-Preserving Demosaicking—0
Toward Real-world Image Super-resolution via Hardware-based Adaptive Degradation Models—0
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model—0
Toward Real-World Super-Resolution via Adaptive Downsampling Models—0
Towards a Computer Vision Particle Flow—0
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement—0
An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution—0
Towards a Sampling Theory for Implicit Neural Representations—0
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence—0
Towards Clip-Free Quantized Super-Resolution Networks: How to Tame Representative Images—0
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation—0
Towards Realistic Data Generation for Real-World Super-Resolution—0
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization—0
Towards Real-world Video Face Restoration: A New Benchmark—0
Towards Robust Drone Vision in the Wild—0
Towards the Automation of Deep Image Prior—0
Towards True Detail Restoration for Super-Resolution: A Benchmark and a Quality Metric—0
Toward Super-Resolution for Appearance-Based Gaze Estimation—0
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution—0
Toward task-driven satellite image super-resolution—0
Tracking Urbanization in Developing Regions with Remote Sensing Spatial-Temporal Super-Resolution—0
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration—0
Training a Task-Specific Image Reconstruction Loss—0
Training Set Effect on Super Resolution for Automated Target Recognition—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function—0
TRAMBA: A Hybrid Transformer and Mamba Architecture for Practical Audio and Bone Conduction Speech Super Resolution and Enhancement on Mobile and Wearable Platforms—0
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds—0
Transferring Knowledge from High-Quality to Low-Quality MRI for Adult Glioma Diagnosis—0
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation—0
Transformer and GAN Based Super-Resolution Reconstruction Network for Medical Images—0
Transformer based super-resolution downscaling for regional reanalysis: Full domain vs tiling approaches—0
Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing—0
Transformers in Vision: A Survey—0
Translation-based Video-to-Video Synthesis—0
Translation position extracting in incoherent Fourier ptychography—0
Transport-based analysis, modeling, and learning from signal and data distributions—0
Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images—0
Transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients—0
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution—0
TriNeRFLet: A Wavelet Based Triplane NeRF Representation—0
Triple Attention Mixed Link Network for Single Image Super Resolution—0
Trustworthy modelling of atmospheric formaldehyde powered by deep learning—0
Trustworthy SR: Resolving Ambiguity in Image Super-resolution via Diffusion Models and Human Feedback—0
TSP-Mamba: The Travelling Salesman Problem Meets Mamba for Image Super-resolution and Beyond—0
Turbulence Enrichment using Physics-informed Generative Adversarial Networks—0
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified