Proposed: 1 Meter Cubed 128 Quantized

Metadata

  • Status: Proposed
  • Deciders: V-Sekai
  • Tags: V-Sekai

The Backdrop

MeshGPT’s “1 Meter Cubed 128 Quantized” format has emerged as a potential method to achieve standardized precision within virtual reality (VR) content creation, centring around polygonal modeling rather than voxel methods.

The Challenge

The key objective is to harness the potential of the “1 Meter Cubed 128 Quantized” format to enhance procedural generation processes within VR development.

The Strategy

  • Develop a comprehensive framework for environment generation that leverages the strengths of the polygonal quantized format.
  • Integrate adaptive algorithms tailored for this format to ensure dynamic responsiveness in VR spaces.
  • Embrace modular design paradigms that align with polygonal modeling to expedite the construction of VR environments.

The Upside

  • Fosters a more intuitive AI-creator collaboration using a polygonal format conducive to AI tools.
  • Lowers barriers to entry for creators, leading to increased efficiency and innovation.
  • Streamlines procedural generation to operate with enhanced speed and reduced resource consumption.
  • Provides a scalable and flexible model to cater to diverse design requirements in VR environments.

The Downside

  • Requires considerable investment in research and development for effective technique integration.
  • May present a learning curve for developers not familiar with non-voxel formats.

The Road Not Taken

  • Dependence on traditional voxel-based procedural generation technologies could be left behind in favor of the enhanced capabilities offered by the polygonal quantized format.

The Infrequent Use Case

  • Specialized VR environments may demand generation methods that extend beyond the standard capacities of the “1 Meter Cubed 128 Quantized” format.

In Core and Done by Us?

  • The enhancement of procedural generation via the adoption of the 1 Meter Cubed 128 Quantized polygonal format is an initiative headed by the V-Sekai team.

Further Reading

  1. V-Sekai · GitHub - Official GitHub account for the V-Sekai development community focusing on social VR functionality for the Godot Engine
  2. V-Sekai/v-sekai-game - GitHub page for the V-Sekai open-source project bringing social VR/VRSNS/metaverse components to the Godot Engine
  3. Shadows of Doubt on Steam - A showcase of the advancements made possible through procedural generation in gaming.

Assisted by AI Aria.