116 citations · 251 across the 20 of their papers we have counts for
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cs.CV2021
Transforming the Latent Space of StyleGAN for Real Face Editing
Heyi Li, Jinlong Liu, Xinyu Zhang +3
Despite recent advances in semantic manipulation using StyleGAN, semantic editing of real faces remains challenging. The gap between the space and the + space demands an und…
cs.CV2021★ 1 cited
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning
Arjun Krishna, Kedar Bartake, Chuang Niu +4
Deep learning has shown great promise for CT image reconstruction, in particular to enable low dose imaging and integrated diagnostics. These merits, however, stand at great odds w…
eess.IV2021★ 12 cited
Noise Entangled GAN For Low-Dose CT Simulation
Chuang Niu, Ge Wang, Pingkun Yan +8
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose computed tomography (CT) images from a higher dose CT image. First, we present two schemes to generate a clean CT…