5 citations · 8 across the 5 of their papers we have counts for
5 papers
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting
Zihao Li, Chunhua Wu, Shenglin Wu +3
In recent years, some researchers focused on using a single image to obtain a large number of samples through multi-scale features. This study intends to a brand-new idea that requ…
Variable Augmented Network for Invertible Modality Synthesis-Fusion
Yuhao Wang, Ruirui Liu, Zihao Li +2
As an effective way to integrate the information contained in multiple medical images under different modalities, medical image synthesis and fusion have emerged in various clinica…
High-dimensional Assisted Generative Model for Color Image Restoration
Kai Hong, Chunhua Wu, Cailian Yang +4
This work presents an unsupervised deep learning scheme that exploiting high-dimensional assisted score-based generative model for color image restoration tasks. Considering that t…
Joint Intensity-Gradient Guided Generative Modeling for Colorization
Kai Hong, Jin Li, Wanyun Li +4
This paper proposes an iterative generative model for solving the automatic colorization problem. Although previous researches have shown the capability to generate plausible color…
Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction
Zhuonan He, Jinjie Zhou, Dong Liang +2
Ill-posed inverse problems in imaging remain an active research topic in several decades, with new approaches constantly emerging. Recognizing that the popular dictionary learning…