PhD Student
Hi! I'm Pablo Ruiz-Ponce, a PhD student in Artificial Intelligence at the University of Alicante (3DPLab), collaborating with the University of Barcelona (HuPBA). I work on Generative AI for Digital Humans, focusing on motion synthesis and human interaction. My research is supervised by José García-Rodríguez and Sergio Escalera, with guidance from German Barquero and Cristina Palmero. I hold a BSc in Computer Science and an MSc in Artificial Intelligence.
We introduce MixerMDM, the first learnable approach for combining multiple pre-trained text-conditioned motion diffusion models. Unlike previous static methods, MixerMDM learns a dynamic mixing strategy to adaptively combine models based on their generated motions and input conditions. This enables fine-grained and consistent individual controllability over human-human interaction motion generation. We also propose a novel evaluation technique that measures mixing quality by assessing individual and interaction alignment.
