Unbounded: A Generative Infinite Game of Character Life Simulation
We introduce the concept of a generative infinite game, a video game that
transcends the traditional boundaries of finite, hard-coded systems by using
generative models. Inspired by James P. Carse's distinction between finite and
infinite games, we leverage recent advances in generative AI to create
Unbounded: a game of character life simulation that is fully encapsulated in
generative models. Specifically, Unbounded draws inspiration from sandbox life
simulations and allows you to interact with your autonomous virtual character
in a virtual world by feeding, playing with and guiding it - with open-ended
mechanics generated by an LLM, some of which can be emergent. In order to
develop Unbounded, we propose technical innovations in both the LLM and visual
generation domains. Specifically, we present: (1) a specialized, distilled
large language model (LLM) that dynamically generates game mechanics,
narratives, and character interactions in real-time, and (2) a new dynamic
regional image prompt Adapter (IP-Adapter) for vision models that ensures
consistent yet flexible visual generation of a character across multiple
environments. We evaluate our system through both qualitative and quantitative
analysis, showing significant improvements in character life simulation, user
instruction following, narrative coherence, and visual consistency for both
characters and the environments compared to traditional related approaches.
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Jialu Li
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2024-10-28T11:24:33.272Z
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Jialu Li
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Yuanzhen Li
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2024-10-25T11:43:49.257Z
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Yuanzhen Li
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Neal Wadhwa
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2024-10-25T11:43:54.854Z
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Neal Wadhwa
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NealWadhwa
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Yael Pritch
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David E. Jacobs
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2024-10-25T11:46:00.810Z
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David Jacobs
user
davejacobs
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Michael Rubinstein
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Mohit Bansal
admin_assigned
2024-10-25T11:44:59.405Z
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Mohit Bansal
user
mohitbansal
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Nataniel Ruiz
claimed_verified
2024-10-25T09:30:20.366Z
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Nataniel
user
flavoredquark
Unbounded: A Generative Infinite Game of Character Life Simulation
We introduce the concept of a generative infinite game, a video game that
transcends the traditional boundaries of finite, hard-coded systems by using
generative models. Inspired by James P. Carse's distinction between finite and
infinite games, we leverage recent advances in generative AI to create
Unbounded: a game of character life simulation that is fully encapsulated in
generative models. Specifically, Unbounded draws inspiration from sandbox life
simulations and allows you to interact with your autonomous virtual character
in a virtual world by feeding, playing with and guiding it - with open-ended
mechanics generated by an LLM, some of which can be emergent. In order to
develop Unbounded, we propose technical innovations in both the LLM and visual
generation domains. Specifically, we present: (1) a specialized, distilled
large language model (LLM) that dynamically generates game mechanics,
narratives, and character interactions in real-time, and (2) a new dynamic
regional image prompt Adapter (IP-Adapter) for vision models that ensures
consistent yet flexible visual generation of a character across multiple
environments. We evaluate our system through both qualitative and quantitative
analysis, showing significant improvements in character life simulation, user
instruction following, narrative coherence, and visual consistency for both
characters and the environments compared to traditional related approaches.
A generative AI-driven video game, Unbounded, offers an open-ended character life simulation using advanced generative models and image generation techniques.
generative models large language model (LLM) dynamic regional image prompt Adapter (IP-Adapter) character life simulation game mechanics narratives character interactions visual generation emergent mechanics narrative coherence visual consistency