Motion Generation

Human Motion Diffusion Model (MDM)

Tevet et al. (Tel Aviv University, arXiv:2209.14916, 2022) apply diffusion models to human motion generation, producing MDM — a transformer-based denoiser that generates realistic motion sequences from text descriptions or action labels. It matters because it extends the generative power of diffusion to a structured temporal domain, enabling controllable motion editing that prior methods couldn't match.