Year: 2021
Type: conference-paper
Abstract: Unseen scan Fitted POP (point cloud)Animations with pose-dependent clothing deformation Figure 1: The Power of Points (POP) model for clothed humans.Based on a novel articulated dense point cloud representation, our cross-outfit model, named POP, produces pose-dependent shapes of clothed humans with coherent global shape and expressive local garment details.The trained model can be fitted to a single scan of an unseen subject wearing an unseen outfit, and can animate it with realistic pose-dependent clothing deformations.The results are color-coded with predicted point normals and rendered with a simple surfel-based renderer.
Authors: Ma, Qianli, Yang, Jinlong, Tang, Siyu, Black, Michael J.
Institutions: Max Planck Society, ETH Zurich
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W3196587790