CONF Berio_IGS_2025/IDIAP Differentiable rasterization of minimum-time sigma-lognormal trajectories Berio, D. Calinon, Sylvain Plamondon, R. Leymarie, F. F. movement primitives robot drawing EXTERNAL http://publications.idiap.ch/attachments/papers/2025/Berio_IGS_2025.pdf PUBLIC In Proc. 22nd Conference of the International Graphonomics Society (IGS) 2025 We present an adaptation of the sigma-lognormal model to generate and fit smooth trajectories in conjunction with a differentiable vector graphics (DiffVG) rendering pipeline and with parameter selection driven by a minimum-time smoothing criterion. This approach enables the incorporation of the ``Kinematic Theory of Rapid Human Movements'' into modern image-based deep learning systems. We demonstrate its utility through various applications, including fitting handwriting trajectories to an image and generating trajectories using guidance from a large multimodal model.