Artem Sevastopolsky
Hello! I am a Ph.D. student at the Max Planck ETH Center for Learning Systems (CLS) , jointly supervised by Otmar Hilliges (ETH) and Michael J. Black (MPI). My research interests lay in the area of building photo-realistic human avatars. Currently, I am focused on the task of modelling and reconstructing human clothing. I am most interested in the challenging task of modelling loose garments, such as skirts, dresses and unbuttoned shirts Prior to my Ph.D., I was working as a research engineer at Samsung AI
We propose a method that leverages graph neural networks, multi-level message passing, and unsupervised training to enable real-time prediction of realistic clothing dynamics. Whereas existing methods based on linear blend skinning must be trained for specific garments, our method is agnostic to body shape and applies to tight-fitting garments as well as loose, free-flowing clothing. Our method furthermore handles changes in topology (e.g., garments with buttons or zippers) and material properties at infere
A new approach to human clothing modeling based on point clouds. Within this approach, we learn a deep model that can predict point clouds of various outfits, for various human poses, and for various human body shapes. Notably, outfits of various types and topologies can be handled by the same model. Using the learned model, we can infer the geometry of new outfits from as little as a single image, and perform outfit retargeting to new bodies in new poses. We complement our geometric model with appearance m
Artem Sevastopolsky