1 citations · 2 across the 4 of their papers we have counts for
4 papers
GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars
Keqiang Sun, Amin Jourabloo, Riddhish Bhalodia +9
Photo-realistic and controllable 3D avatars are crucial for various applications such as virtual and mixed reality (VR/MR), telepresence, gaming, and film production. Traditional m…
RENs: Relevance Encoding Networks
Krithika Iyer, Riddhish Bhalodia, Shireen Elhabian
The manifold assumption for high-dimensional data assumes that the data is generated by varying a set of parameters obtained from a low-dimensional latent space. Deep generative mo…
Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model
Wenzheng Tao, Riddhish Bhalodia, Shireen Elhabian
Statistical shape modeling is an essential tool for the quantitative analysis of anatomical populations. Point distribution models (PDMs) represent the anatomical surface via a den…
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia, Shireen Elhabian, Jadie Adams +3
Statistical shape modeling (SSM) characterizes anatomical variations in a population of shapes generated from medical images. SSM requires consistent shape representation across sa…