Children move very differently from adults. Yet, motion capture databases are largely comprised of adult motion. We aim to generate child-like motion by transforming adult motion capture data with the goal of creating more compelling avatars for games and virtual reality.
Non-text description: video explaining project and results.
"Is the motion of a child perceivably different from the motion of an adult?", Eakta Jain, Lisa Anthony, Aishat Aloba, Amanda Castonguay, Isaabella Cura, Alex Shaw, Julia Woodward, ACM Transactions on Applied Perception 2016.Non-text description: video explaining project and results.
"Adult2Child: Dynamic Scaling Laws to Create Child-Like Motion", Yuzhu Dong, Sachin Paryani, Neha Rana, Aishat Aloba, Lisa Anthony, Eakta Jain, 2017 Motion In Games.Non-text description: video explaining project and results.
“Adult2child: Motion Style Transfer using CycleGANs”, Yuzhu Dong, Andreas Aristidou, Ariel Shamir, Moshe Mahler, Eakta Jain, ACM SIGGRAPH Conference on Motion, Interaction and Games, October 2020Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). © 2016 Copyright held by the owner/author(s).