13 citations · 28 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
eess.IV2023★ 9 cited
Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning
Simone Foti, Alexander J. Rickart, Bongjin Koo +9
The use of deep learning to undertake shape analysis of the complexities of the human head holds great promise. However, there have traditionally been a number of barriers to accur…
cs.CV2023★ 6 cited
3D Generative Model Latent Disentanglement via Local Eigenprojection
Simone Foti, Bongjin Koo, Danail Stoyanov +1
Designing realistic digital humans is extremely complex. Most data-driven generative models used to simplify the creation of their underlying geometric shape do not offer control o…