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 1701–1725 of 3874 papers

TitleStatusHype
Rethinking Implicit Neural Representations for Vision Learners—0
SuperTran: Reference Based Video Transformer for Enhancing Low Bitrate Streams in Real Time—0
AERO: Audio Super Resolution in the Spectral DomainCode2
SRTGAN: Triplet Loss based Generative Adversarial Network for Real-World Super-Resolution—0
Blur Interpolation Transformer for Real-World Motion from BlurCode2
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution—0
N-Gram in Swin Transformers for Efficient Lightweight Image Super-ResolutionCode1
Guided Depth Super-Resolution by Deep Anisotropic DiffusionCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network—0
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images—0
Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network—0
Stereo Image Rain Removal via Dual-View Mutual Attention—0
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion ModuleCode1
RDRN: Recursively Defined Residual Network for Image Super-Resolution—0
Conffusion: Confidence Intervals for Diffusion ModelsCode1
Super-resolution Reconstruction of Single Image for Latent features—0
Consistent Direct Time-of-Flight Video Depth Super-ResolutionCode1
SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution—0
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming—0
MedleyVox: An Evaluation Dataset for Multiple Singing Voices SeparationCode1
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
Two-dimensional gridless super-resolution method for ISAR imaging—0
A Comprehensive Survey of Transformers for Computer Vision—0
Contrastive Learning for Climate Model Bias Correction and Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified