June 15, 2022, 1:12 a.m. | Matt Deitke, Eli VanderBilt, Alvaro Herrasti, Luca Weihs, Jordi Salvador, Kiana Ehsani, Winson Han, Eric Kolve, Ali Farhadi, Aniruddha Kembhavi, Roozb

cs.CV updates on arXiv.org arxiv.org

Massive datasets and high-capacity models have driven many recent
advancements in computer vision and natural language understanding. This work
presents a platform to enable similar success stories in Embodied AI. We
propose ProcTHOR, a framework for procedural generation of Embodied AI
environments. ProcTHOR enables us to sample arbitrarily large datasets of
diverse, interactive, customizable, and performant virtual environments to
train and evaluate embodied agents across navigation, interaction, and
manipulation tasks. We demonstrate the power and potential of ProcTHOR via a …

ai arxiv embodied ai generation scale

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