Chen Tessler

Title: Chen Tessler and Generative Human Motion Simulation.

Introduction

Chen Tessler is an inventor based in Zichron Yaakov, Israel, and works at NVIDIA Corporation. His patent work concerns machine learning methods for generating human motion data.

Latest Patents

Tessler is associated with 1 patent, titled “Machine Learning Models for Generative Human Motion Simulation.” The patent describes systems and methods that generate human-character motion from a text prompt, a kinematic constraint, or both. A motion model uses random noise and iteratively determines global root motion and local joint motion through two models. The local root motion is based on the global root motion, and the resulting human motion data includes global root motion and local joint motion.

Career Highlights

Tessler’s disclosed invention applies machine learning to human motion simulation, combining text or kinematic guidance with a diffusion-based process to produce coordinated character movement. His work is associated with NVIDIA Corporation.

Collaborations

Tessler’s listed coworker is Jason Peng. The available information does not specify their particular projects or collaboration.

Conclusion

Chen Tessler’s patent highlights an approach to generating human-character motion with machine learning, guided by text prompts or kinematic constraints.