89 citations · 141 across the 8 of their papers we have counts for
3 papers · 1 filter
Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model using Deep Non-Rigid Structure from Motion
Mihir Sahasrabudhe, Zhixin Shu, Edward Bartrum +3
In this work we introduce Lifting Autoencoders, a generative 3D surface-based model of object categories. We bring together ideas from non-rigid structure from motion, image format…
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou +4
Image registration and in particular deformable registration methods are pillars of medical imaging. Inspired by the recent advances in deep learning, we propose in this paper, a n…
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu, Mihir Sahasrabudhe, Alp Guler +3
In this work we introduce Deforming Autoencoders, a generative model for images that disentangles shape from appearance in an unsupervised manner. As in the deformable template par…