2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
HumanLiff: Layer-wise 3D Human Generation with Diffusion Model
Shoukang Hu, Fangzhou Hong, Tao Hu +5
3D human generation from 2D images has achieved remarkable progress through the synergistic utilization of neural rendering and generative models. Existing 3D human generative mode…
cs.CV2023★ 2 cited
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling
Zhitao Yang, Zhongang Cai, Haiyi Mei +12
Synthetic data has emerged as a promising source for 3D human research as it offers low-cost access to large-scale human datasets. To advance the diversity and annotation quality o…