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 1701–1750 of 3874 papers

TitleStatusHype
Assessing Wireless Sensing Potential with Large Intelligent Surfaces—0
A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution—0
Hybrid Neural Representations for Spherical Data—0
Feature Super-Resolution Based Facial Expression Recognition for Multi-scale Low-Resolution Faces—0
Deep learning-based super-resolution in coherent imaging systems—0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution—0
HyperINR: A Fast and Predictive Hypernetwork for Implicit Neural Representations via Knowledge Distillation—0
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity—0
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation—0
Iris super-resolution using CNNs: is photo-realism important to iris recognition?—0
Feature-Driven Super-Resolution for Object Detection—0
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications—0
Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings—0
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks—0
A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT—0
Feature-based Recognition Framework for Super-resolution Images—0
Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution—0
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution—0
Hyperspectral Image Super-Resolution via Non-Local Sparse Tensor Factorization—0
CoReGAN: Contrastive Regularized Generative Adversarial Network for Guided Depth Map Super Resolution—0
Feature Alignment with Equivariant Convolutions for Burst Image Super-Resolution—0
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution—0
Hyperspectral Neural Radiance Fields—0
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution—0
Hyperspectral Spatial Super-Resolution using Keystone Error—0
A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer—0
3D Volumetric Super-Resolution in Radiology Using 3D RRDB-GAN—0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution—0
Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling—0
A full-resolution training framework for Sentinel-2 image fusion—0
Hyperspectral Super-Resolution via Coupled Tensor Ring Factorization—0
Convolutional Sparse Coding for Image Super-Resolution—0
Strict Enforcement of Conservation Laws and Invertibility in CNN-Based Super Resolution for Scientific Datasets—0
HypervolGAN: An efficient approach for GAN with multi-objective training function—0
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition—0
Deep Learning Framework for Infrastructure Maintenance: Crack Detection and High-Resolution Imaging of Infrastructure Surfaces—0
ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution—0
A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models—0
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit—0
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior—0
IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network—0
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline—0
Fast Spatio-Temporal Residual Network for Video Super-Resolution—0
Fast single image super-resolution based on sigmoid transformation—0
Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution—0
Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video—0
Fast Single Image Super-Resolution—0
Image Deconvolution with Deep Image and Kernel Priors—0
Convolutional Low-Resolution Fine-Grained Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified