Virtual avatar generation models as world navigators

Autor: Mandava, Sai
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: We introduce SABR-CLIMB, a novel video model simulating human movement in rock climbing environments using a virtual avatar. Our diffusion transformer predicts the sample instead of noise in each diffusion step and ingests entire videos to output complete motion sequences. By leveraging a large proprietary dataset, NAV-22M, and substantial computational resources, we showcase a proof of concept for a system to train general-purpose virtual avatars for complex tasks in robotics, sports, and healthcare.
Comment: 16 pages, 15 figures
Databáze: arXiv