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20192022
most citedJoint Intensity-Gradient Guided Generative Modeling for Colorization

5 citations · 11 across the 7 of their papers we have counts for

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5 papers · 1 filter

eess.IV20221 cited

Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction

Bing Guan, Cailian Yang, Liu Zhang +5

The radiation dose in computed tomography (CT) examinations is harmful for patients but can be significantly reduced by intuitively decreasing the number of projection views. Reduc…

eess.IV20212 cited

MRI Reconstruction Using Deep Energy-Based Model

Yu Guan, Zongjiang Tu, Shanshan Wang +3

Purpose: Although recent deep energy-based generative models (EBMs) have shown encouraging results in many image generation tasks, how to take advantage of the self-adversarial cog…

eess.IV2021

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…

eess.IV20212 cited

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…

eess.IV20191 cited

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…