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Found 6 papers, 5 papers with code
MFIF-GAN: A New Generative Adversarial Network for Multi-Focus Image Fusion
Multi-Focus Image Fusion (MFIF) is a promising image enhancement technique to obtain all-in-focus images meeting visual needs and it is a precondition of other computer vision tasks.
Deep Convolutional Sparse Coding Networks for Image Fusion
Image fusion is a significant problem in many fields including digital photography, computational imaging and remote sensing, to name but a few.
Infrared And Visible Image Fusion
Multi-Exposure Image Fusion
Bayesian Fusion for Infrared and Visible Images
In this paper, a novel Bayesian fusion model is established for infrared and visible images.
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images.
Ranked #5 on
Semantic Segmentation
on FMB Dataset
Adaptive Quantile Low-Rank Matrix Factorization
By assuming noise to come from a Gaussian, Laplace or mixture of Gaussian distributions, significant efforts have been made on optimizing the (weighted) $L_1$ or $L_2$-norm loss between an observed matrix and its bilinear factorization.
Variational Bayesian Weighted Complex Network Reconstruction
Complex network reconstruction is a hot topic in many fields.
