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 2020
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