24 DAILY CVPR Sunday Poster Pablo Ruiz Ponce had the chance to present his work MixerMDM: Learnable Composition of Human Motion Diffusion Models to Michael Black. Pablo told us: “Michael is a researcher whose work I’ve long admired and learned from. It was both exciting and overwhelming to see him engage with my poster and ask questions. Thankfully, he was incredibly approachable and easy to talk to, so my initial nervousness quickly disappeared. Michael was particularly interested in our approach to synthetically increasing the diversity of generated human interactions, and we had an insightful discussion about the challenges of modeling realistic contacts between humans and the limitations of the data currently available.”
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