title: Unbounded: A Generative Infinite Game of Character Life Simulation
summary: 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.
paper_authors._id: 671af3a7bc2e7f71a42ba557
paper_authors.name: Jialu Li
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paper_authors.fullname: Jialu Li
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paper_authors.name: Yuanzhen Li
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paper_authors.fullname: Yuanzhen Li
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paper_authors.name: Neal Wadhwa
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paper_authors.fullname: Neal Wadhwa
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paper_authors.name: Yael Pritch
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paper_authors.name: David E. Jacobs
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paper_authors.fullname: David Jacobs
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paper_authors.name: Michael Rubinstein
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paper_authors.name: Mohit Bansal
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paper_authors.fullname: Mohit Bansal
paper_authors.type: user
paper_authors.user: mohitbansal
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paper_authors.name: Nataniel Ruiz
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paper_authors.fullname: Nataniel
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paper_authors.user: flavoredquark
paper_title: Unbounded: A Generative Infinite Game of Character Life Simulation
paper_summary: 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.
paper_ai_summary: A generative AI-driven video game, Unbounded, offers an open-ended character life simulation using advanced generative models and image generation techniques.
paper_ai_keywords: 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