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 2176–2200 of 3874 papers

TitleStatusHype
Cross-SRN: Structure-Preserving Super-Resolution Network with Cross Convolution—0
3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution—0
Sound and Visual Representation Learning with Multiple Pretraining Tasks—0
Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Super-ResolutionCode1
Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization—0
Generative adversarial network for super-resolution imaging through a fiber—0
Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks—0
Detail-Preserving Transformer for Light Field Image Super-ResolutionCode1
MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution—0
Task Decoupled Framework for Reference-Based Super-Resolution—0
LAR-SR: A Local Autoregressive Model for Image Super-ResolutionCode0
Learning To Zoom Inside Camera Imaging Pipeline—0
SphereSR: 360deg Image Super-Resolution With Arbitrary Projection via Continuous Spherical Image Representation—0
Texture-Based Error Analysis for Image Super-Resolution—0
Learnable Lookup Table for Neural Network QuantizationCode1
Neural Prior for Trajectory Estimation—0
Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields TranslationCode2
Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale LearningCode1
A Resolution Enhancement Plug-in for Deformable Registration of Medical Images—0
HPRN: Holistic Prior-embedded Relation Network for Spectral Super-ResolutionCode0
Super-Efficient Super Resolution for Fast Adversarial Defense at the EdgeCode0
Astronomical Image Colorization and upscaling with Generative Adversarial Networks—0
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks—0
Reflash Dropout in Image Super-ResolutionCode1
Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified