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 1651–1700 of 3874 papers

TitleStatusHype
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models—0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models—0
BOLD: Boolean Logic Deep Learning—0
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Stochastic super-resolution for Gaussian microtextures—0
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution—0
HR-INR: Continuous Space-Time Video Super-Resolution via Event CameraCode0
Perceptual Fairness in Image Restoration—0
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution—0
HR Human: Modeling Human Avatars with Triangular Mesh and High-Resolution Textures from Videos—0
AdaWaveNet: Adaptive Wavelet Network for Time Series Analysis—0
Infrared Image Super-Resolution via Lightweight Information Split Network—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution—0
RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methods—0
Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment—0
Large coordinate kernel attention network for lightweight image super-resolution—0
NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-ResolutionCode0
Super-Resolving Blurry Images with Events—0
Incorporating Degradation Estimation in Light Field Spatial Super-Resolution—0
Machine learning for reconstruction of polarity inversion lines from solar filamentsCode0
Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas—0
Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-ResolutionCode0
Teacher-Student Network for Real-World Face Super-Resolution with Progressive Embedding of Edge Information—0
An Advanced Features Extraction Module for Remote Sensing Image Super-Resolution—0
All-in-One Deep Learning Framework for MR Image Reconstruction—0
I^3Net: Inter-Intra-slice Interpolation Network for Medical Slice SynthesisCode0
TRAMBA: A Hybrid Transformer and Mamba Architecture for Practical Audio and Bone Conduction Speech Super Resolution and Enhancement on Mobile and Wearable Platforms—0
Single Image Super-Resolution Based on Global-Local Information Synergy—0
Detail-Enhancing Framework for Reference-Based Image Super-Resolution—0
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts—0
Towards Real-world Video Face Restoration: A New Benchmark—0
One-Shot Image Restoration—0
Federated Learning for Blind Image Super-Resolution—0
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimationCode0
Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey—0
SEGSRNet for Stereo-Endoscopic Image Super-Resolution and Surgical Instrument Segmentation—0
Single-sample image-fusion upsampling of fluorescence lifetime images—0
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics—0
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
VideoGigaGAN: Towards Detail-rich Video Super-Resolution—0
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model—0
Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication—0
Super-resolution of biomedical volumes with 2D supervision—0
MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution—0
Differentiable Search for Finding Optimal Quantization Strategy—0
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral ImagesCode0
Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data—0
Space-Time Video Super-resolution with Neural Operator—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified