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Atlas

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Unique tool creating tailored game assets, accelerating content creation with generative 3D AI.
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What is Atlas?

Atlas is an Artificial Intelligence tool designed to streamline the process of creating 3D content, including diverse 3D models, assets, and virtual worlds from reference images and text inputs. It stands out due to its ability to generate unique game-ready assets based on style references and mood boards. Atlas reduces the time required to create 3D content significantly, with efficiency gains of up to 200 times compared to traditional methods. The tool offers an end-to-end workflow system covering 3D concepting to runtime generation and ensures visually appealing and well-structured outputs through techniques like semantic segmentation and UV mapping. Additionally, Atlas interfaces with major gaming and 3D engines, making it suitable for various design projects, including architecture, level design, and world building in virtual realities. The tool also features text-to-3D capabilities and supports the generation of detailed 3D models rapidly .

Who created Atlas?

Atlas was created by Brooks Brown, the Founder & CEO of Consortium 9. It was launched on April 5, 2023. Atlas is a cutting-edge Artificial Intelligence tool that revolutionizes the creation of 3D content, generating assets and virtual worlds in seconds with up to 200x efficiency gains. The tool offers diverse AI tools for an end-to-end workflow, ensuring visually appealing and well-structured outputs through clean geometric models, semantic segmentations, and UV mappings. Atlas stands out by creating unique game-ready assets based on style references, enhancing creativity and efficiency in content creation .

What is Atlas used for?

  • Architecture
  • Game assets
  • Level design
  • Props
  • Augmented Reality
  • Virtual Reality
  • World Building
  • User Generated Content
  • Text-to-3D capabilities
  • Large scale projects
  • Generates 3D content rapidly
  • Creates structured model outputs
  • Quality asset generation
  • Facilitates virtual world creation
  • Ideal for World Building
  • Boosts creativity by reducing time
  • Designed for large scale projects
  • Easily handles thousands of buildings
  • Recommended for designers
  • Web3 Game Assets

Who is Atlas for?

  • Immersive Creative/Art Director
  • Architect
  • Game Designer

How to use Atlas?

To use Atlas efficiently, follow these steps:

  1. Inputs Needed: Prepare reference images and text input to generate 3D models.
  2. Creating Assets: Utilize Atlas to generate game-ready assets with clean geometric models, semantic segmentations, UV mappings, and PBR material maps.
  3. Efficiency: Benefit from the rapid asset generation with efficiency gains of up to 200 times compared to traditional methods.
  4. Customization: Customize Atlas based on unique style references or mood boards for generating catalogues of unique game-ready assets.
  5. Quality Assurance: Ensure visually appealing and well-structured outputs using advanced techniques like semantic segmentation and UV mapping alongside PBR material maps.
  6. Integration: Interface Atlas with major gaming and 3D engines for seamless content integration.
  7. Workflow: Enjoy a non-destructive workflow where original assets remain intact for smooth transitions during design alterations.
  8. AI Capabilities: Leverage Text-to-3D capabilities for interpreting text inputs into complex 3D models, ideal for User Generated Content projects.

By following these steps, users can effectively harness the power of Atlas for efficient and high-quality 3D content generation.

Pros
  • Generates 3D content rapidly
  • Suite of diverse tools
  • End-to-end workflow system
  • Generates clean geometric models
  • Semantic segmentations and UV mappings
  • Includes PBR material maps
  • Generates game-ready assets
  • Interfaces with gaming engines
  • Non-destructive workflow
  • Generates detailed 3D models
  • Facilitates virtual world creation
  • 200x efficiency gains
  • Supports creation from text
  • Compatible with major 3D engines
  • Useful for AR and VR
Cons
  • No offline version
  • Reference-based limitations
  • Unspecified processing power requirements
  • No explicit user permissions
  • Possible compatibility issues
  • Third-party engine dependency
  • No open-source version
  • No inference speed details
  • Unavailable for mobile platforms
  • Reference based limitations

Atlas FAQs

What is the unique feature of Atlas that sets it apart from other AI tools?
The unique feature of Atlas is its ability to create an AI specific to your style references, allowing the generation of unique game-ready assets.
How does Atlas reduce the time taken to create 3D content?
Atlas uses cutting-edge generative 3D AI technology to reduce the time taken to create 3D content, resulting in up to 200x efficiency gains compared to traditional methods.
Can I customize Atlas based on unique style references?
Yes, you can customize Atlas based on unique style references, allowing the generation of unique game-ready assets in an IP-protected environment.
What are PBR material maps and how does Atlas use them?
PBR material maps are used to achieve a more accurate representation of a material's surface in digital rendering. Atlas uses these maps to ensure visually appealing and well-structured outputs.
What does a non-destructive workflow mean in Atlas?
A non-destructive workflow in Atlas means that the creation process doesn't alter or delete the original digital assets, allowing for smooth transitions and alterations.
How does Atlas interface with major gaming and 3D engines?
Atlas interfaces with major gaming and 3D engines to provide a smooth and non-destructive workflow, enabling seamless integration of content into various projects.
How does Atlas apply semantic segmentation in its operations?
Atlas applies semantic segmentation by generating clean geometric models broken down into meaningful parts, ensuring visually appealing and well-structured outputs.
What inputs are needed to generate 3D models in Atlas?
To generate 3D models in Atlas, you need reference images and text input, which are used to create diverse and detailed 3D models using AI.

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