111 citations · 128 across the 13 of their papers we have counts for
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cs.CV2023★ 4 cited
LayoutDM: Transformer-based Diffusion Model for Layout Generation
Shang Chai, Liansheng Zhuang, Fengying Yan
Automatic layout generation that can synthesize high-quality layouts is an important tool for graphic design in many applications. Though existing methods based on generative model…
cs.CV2023★ 1 cited
Private Gradient Estimation is Useful for Generative Modeling
Bochao Liu, Pengju Wang, Weijia Guo +4
While generative models have proved successful in many domains, they may pose a privacy leakage risk in practical deployment. To address this issue, differentially private generati…