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 1501–1550 of 3874 papers

TitleStatusHype
Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation—0
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data OverfittingCode1
DeblurSR: Event-Based Motion Deblurring Under the Spiking RepresentationCode1
ViTO: Vision Transformer-Operator—0
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation—0
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion ModelsCode1
ResDiff: Combining CNN and Diffusion Model for Image Super-ResolutionCode1
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach—0
Super-Resolution Information Enhancement For Crowd CountingCode1
IFF: A Super-resolution Algorithm for Multiple Measurements—0
Raising The Limit Of Image Rescaling Using Auxiliary Encoding—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
Recursive Generalization Transformer for Image Super-ResolutionCode1
MLP-SRGAN: A Single-Dimension Super Resolution GAN using MLP-MixerCode0
A New Super-Resolution Measurement of Perceptual Quality and Fidelity—0
StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned FacesCode2
Generative AI for Rapid Diffusion MRI with Improved Image Quality, Reliability and GeneralizabilityCode1
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery—0
Provably Convergent Plug-and-Play Quasi-Newton MethodsCode0
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-ResolutionCode1
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-ResolutionCode1
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall—0
In-Situ Calibration of Antenna Arrays for Positioning With 5G Networks—0
QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms—0
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition—0
Learning multi-scale local conditional probability models of imagesCode1
Combination of Single and Multi-frame Image Super-resolution: An Analytical PerspectiveCode0
Super-Resolution Neural OperatorCode0
Stochastic Super-Resolution For Gaussian Textures—0
Single-photon Image Super-resolution via Self-supervised Learning—0
Consistency ModelsCode5
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution—0
Online Streaming Video Super-Resolution with Convolutional Look-Up Table—0
Lessons Learned Report: Super-Resolution for Detection Tasks in Engineering Problem-Solving—0
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
GRAN: Ghost Residual Attention Network for Single Image Super Resolution—0
BrainBERT: Self-supervised representation learning for intracranial recordingsCode1
Learning to Super-Resolve Blurry Images with EventsCode1
LSR: A Light-Weight Super-Resolution Method—0
Spatially-Adaptive Feature Modulation for Efficient Image Super-ResolutionCode2
Continuous Space-Time Video Super-Resolution Utilizing Long-Range Temporal Information—0
Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded ImagesCode1
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI—0
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution—0
DISCO: Distributed Inference with Sparse Communications—0
Likelihood Annealing: Fast Calibrated Uncertainty for Regression—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified