Cube: A Roblox View of 3D Intelligence
Authors: name: Foundation AI Team; name: Kiran Bhat; name: Nishchaie Khanna; name: Karun Channa; name: Tinghui Zhou; name: Yiheng Zhu; name: Xiaoxia Sun; name: Charles Shang; name: Anirudh Sudarshan; name: Maurice Chu; name: Daiqing Li; name: Kangle Deng; name: Jean-Philippe Fauconnier; name: Tijmen Verhulsdonck; name: Maneesh Agrawala; name: Kayvon Fatahalian; name: Alexander Weiss; name: Christian Reiser; name: Ravi Kiran Chirravuri; name: Ravali Kandur; name: Alejandro Pelaez; name: Akash Garg; name: Michael Palleschi; name: Jessica Wang; name: Skylar Litz; name: Leon Liu; name: Anying Li; name: David Harmon; name: Derek Liu; name: Liangjun Feng; name: Denis Goupil; name: Lukas Kuczynski; name: Jihyun Yoon; name: Naveen Marri; name: Peiye Zhuang; name: Yinan Zhang; name: Brian Yin; name: Haomiao Jiang; name: Marcel van Workum; name: Thomas Lane; name: Bryce Erickson; name: Salil Pathare; name: Kyle Price; name: Anupam Singh; name: David Baszucki
Published: 2025-03-19 17:52:17

Abstract: Foundation models trained on vast amounts of data have demonstrated
remarkable reasoning and generation capabilities in the domains of text,
images, audio and video. Our goal at Roblox is to build such a foundation model
for 3D intelligence, a model that can support developers in producing all
aspects of a Roblox experience, from generating 3D objects and scenes to
rigging characters for animation to producing programmatic scripts describing
object behaviors. We discuss three key design requirements for such a 3D
foundation model and then present our first step towards building such a model.
We expect that 3D geometric shapes will be a core data type and describe our
solution for 3D shape tokenizer. We show how our tokenization scheme can be
used in applications for text-to-shape generation, shape-to-text generation and
text-to-scene generation. We demonstrate how these applications can collaborate
with existing large language models (LLMs) to perform scene analysis and
reasoning. We conclude with a discussion outlining our path to building a fully
unified foundation model for 3D intelligence.