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 1101–1150 of 3874 papers

TitleStatusHype
Differentiable Channel Sparsity Search via Weight Sharing within Filters—0
Diff-Ensembler: Learning to Ensemble 2D Diffusion Models for Volume-to-Volume Medical Image Translation—0
Blind Time-of-Flight Imaging: Sparse Deconvolution on the Continuum with Unknown Kernels—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation—0
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach—0
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution—0
Diagnosing and Preventing Instabilities in Recurrent Video Processing—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Facial Expression Restoration Based on Improved Graph Convolutional Networks—0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques—0
Analytic Optimization-Based Microbubble Tracking in Ultrasound Super-Resolution Microscopy—0
DHECA-SuperGaze: Dual Head-Eye Cross-Attention and Super-Resolution for Unconstrained Gaze Estimation—0
Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows—0
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
Analysis Operator Learning and Its Application to Image Reconstruction—0
Blind Restoration of High-Resolution Ultrasound Video—0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling—0
Device Activity Detection and Channel Estimation for Millimeter-Wave Massive MIMO—0
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
Facial Attribute Capsules for Noise Face Super Resolution—0
FADPNet: Frequency-Aware Dual-Path Network for Face Super-Resolution—0
Developing a new biophysical tool to combine magneto-optical tweezers with super-resolution fluorescence microscopy—0
Deterministic Medical Image Translation via High-fidelity Brownian Bridges—0
Blind inverse problems with isolated spikes—0
Detecting disruption of HER2 membrane protein organization in cell membranes with nanoscale precision—0
Blind Image Super-Resolution with Spatial Context Hallucination—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
Blind Image Super-resolution with Rich Texture-Aware Codebooks—0
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Detailed 3D Human Body Reconstruction from Multi-view Images Combining Voxel Super-Resolution and Learned Implicit Representation—0
Blind Image Super-Resolution via Contrastive Representation Learning—0
Blind Image Super-Resolution: A Survey and Beyond—0
Designing A Composite Dictionary Adaptively From Joint Examples—0
DepthwiseGANs: Fast Training Generative Adversarial Networks for Realistic Image Synthesis—0
Depth Super-Resolution from Explicit and Implicit High-Frequency Features—0
Analog Neural Computing with Super-resolution Memristor Crossbars—0
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs—0
Face Super-resolution Guided by Facial Component Heatmaps—0
Face Super-Resolution with Progressive Embedding of Multi-scale Face Priors—0
FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution—0
FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization—0
Depth Super Resolution by Rigid Body Self-Similarity in 3D—0
Depth Separable architecture for Sentinel-5P Super-Resolution—0
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization—0
Depth Anything with Any Prior—0
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified