Using ChatGPT and GPT-4 to Generate 3D Content in Omniverse

NVIDIA Omniverse
30 Mar 202307:27

TLDRMario Viviani from Nvidia's Omniverse team demonstrates the new AI-powered extensions, the AI room generator and Deep Search. These tools integrate GPT-4 and APIs to enhance scene building, allowing users to quickly create and customize spaces such as a warehouse and a reception area. The demonstration highlights the AI's spatial awareness and the seamless integration of natural language queries to dynamically populate scenes with appropriate items and make real-time adjustments. This showcases the power of combining AI, APIs, and Omniverse to streamline creative workflows and scene generation.

Takeaways

  • 🚀 Mario Viviani from Nvidia's Omniverse team introduces a new AI extension called Rune generator, which combines AI and APIs to accelerate scene building.
  • 🎨 The AI systems used in the demo are GPT-4 and Deep Search, which are employed to generate content for a warehouse and a reception room.
  • 📐 Mario demonstrates creating a floor plan by drawing a new curve to define the area where items will be placed.
  • 🏭 A small warehouse room is generated with common items found in a warehouse by using a prompt and the GPT-4's ability to generate a list of items.
  • 🛋️ A reception room is created with furniture and decor that fits the description provided by the user, showcasing GPT-4's spatial awareness and logical item placement.
  • 🔍 Deep Search is an ecosystem of services that allows Omniverse users to search for content stored in the Nucleus server using natural language queries.
  • 📖 Deep Search can be trained on custom data and combined with GPT-4's natural language capabilities for powerful AI-driven searches.
  • 🛠️ The extension includes a feature called Deep Search Swap, which allows users to automatically replace objects in the scene with alternative options found through AI-powered searches.
  • 🔄 The AI room generator and Deep Search enable quick iteration and provide a wide range of variations for objects, enhancing the creative process.
  • 📚 The demo emphasizes the potential of integrating AI, APIs, and Omniverse to build powerful tools for content creation.
  • 🔮 Mario expresses excitement about the future of AI and encourages users to explore the Omniverse extension documentation to learn how to create new tools.

Q & A

  • What is the name of the AI extension for Omniverse demonstrated in the transcript?

    -The AI extension for Omniverse demonstrated is called Rune generator.

  • Which AI models are used in the demo?

    -The AI models used in the demo are GPT-4 and Deep Search.

  • What is the purpose of the Rune generator extension?

    -The purpose of the Rune generator extension is to accelerate scene building by combining AI with APIs.

  • How does the AI generate the list of items for the warehouse?

    -The AI generates a list of items by connecting to Deep Search and loading those items into the scene based on a prompt provided by the user.

  • What kind of items are typically found in a warehouse according to the AI's generation?

    -The AI generated items such as palettes, shelvings, and various units, indicating these are common items found in a warehouse.

  • How does the AI handle spatial awareness when placing items in the scene?

    -The AI demonstrates spatial awareness by correctly disposing all items within the boundaries of the area and maintaining a logical order.

  • What is Deep Search and how does it assist in the content creation process?

    -Deep Search is an ecosystem of services that allows Omniverse users to search for content stored in a nucleus server using natural language queries, aiding in the selection and placement of assets.

  • How can Deep Search be customized for individual users?

    -Deep Search can be trained on a user's own data, allowing for more personalized and accurate search results based on the user's specific needs.

  • What is the 'Deep Search Swap' feature and how does it work?

    -Deep Search Swap is a part of the extension that allows users to automatically replace an object in the scene with another by using AI to search a repository of items based on a natural language description.

  • How does the combination of GPT-4 and Deep Search enhance the Omniverse content creation?

    -The combination of GPT-4 and Deep Search enhances content creation by providing a powerful tool for generating and iterating through different variations of items in a scene, streamlining the process with natural language search capabilities.

  • What is the final message to the audience regarding the future of AI in Omniverse?

    -The final message is one of excitement about the future of AI in Omniverse, encouraging users to explore the extension documentation and create new tools with the technology.

  • How can users learn more about creating their own tools with the Omniverse extension?

    -Users can learn more by checking out the Omniverse extension documentation which provides guidance on how to make new tools.

Outlines

00:00

🚀 Introduction to AI Extensions in Omniverse

Mario Viviani from the Nvidia Omniverse team introduces Rune, a new AI extension for Omniverse. He demonstrates how AI and APIs can expedite scene building. The AI systems used are GPT4 and Deep Search. Mario envisions creating a warehouse with a reception room. He begins by generating a floor plan and creating a small warehouse area, using a new curve to define the space for items. He then uses a prompt to instruct the AI to add common warehouse items, which are then loaded into the scene. The process showcases the AI's ability to arrange items logically within the designated area.

05:02

🛋️ Building a Reception Room with AI

Mario proceeds to create a reception room by drawing a new area on the floor plan. He uses a prepared prompt to instruct the AI to generate items suitable for a reception area, including a front desk, sofas, coffee table, armchairs, and an informative display stand. The AI's spatial awareness is highlighted as items are correctly disposed within the boundaries. The efficiency and accuracy of the AI in creating a realistic reception room environment are emphasized.

🔍 Utilizing Deep Search for Asset Selection

The script concludes with a demonstration of Deep Search, an ecosystem that allows Omniverse users to find content using natural language queries. Mario shows how to use Deep Search to find and swap out objects within the scene, such as replacing a modern sofa with a different one using AI-powered suggestions. The ease of iterating through various options and the power of combining natural language with AI to enhance the creative process are the key takeaways from this part of the demo.

Mindmap

Keywords

💡Omniverse

Omniverse refers to NVIDIA's platform designed for collaboration and simulation in 3D workflows, often used in architectural design, engineering, and entertainment industries. In the video, Omniverse serves as the core environment where the AI-powered Rune Generator extension is demonstrated, illustrating its capabilities in accelerating scene building through AI and API integration.

💡Rune Generator

The Rune Generator is an AI extension for Omniverse highlighted in the video. This tool utilizes AI to automate and enhance the creation of 3D environments, such as generating content for specific rooms like a warehouse or reception area. It's an example of how AI can streamline complex tasks in scene construction.

💡GPT-4

GPT-4, or Generative Pre-trained Transformer 4, is an AI language model developed by OpenAI. In the video, GPT-4 is utilized within the Omniverse to generate item lists for specific environments, demonstrating its ability to understand and produce relevant content based on given prompts.

💡Deep Search

Deep Search is described in the video as a service within the Omniverse ecosystem that uses AI to search and retrieve digital assets based on natural language queries. This feature enhances user interaction by allowing more intuitive searches, like finding an office chair, showing the convergence of AI with intuitive, user-friendly search capabilities.

💡Warehouse

In the context of the video, a 'warehouse' is one of the scene settings being mocked up. It is an example of a practical application of the Rune Generator, where items typically found in a warehouse are automatically populated into the scene, showcasing the tool's utility in real-world simulation scenarios.

💡Reception

The reception area is another scene setup demonstrated in the video. It's used to illustrate how the AI tools can effectively design a welcoming space for visitors, complete with sofas, a coffee table, and a front desk, which are relevant to its purpose in greeting and serving guests.

💡Scene Building

Scene building refers to the process of creating 3D environments and setups within Omniverse. The video demonstrates how AI and APIs can accelerate this process by automating the generation and arrangement of objects within specified areas, such as warehouses and reception rooms.

💡Spatial Awareness

Spatial awareness in the context of the video refers to the AI's capability to appropriately place and orient objects within a designated space, respecting boundaries and logical arrangements. This is critical in scene building to ensure environments are realistically and functionally laid out.

💡Natural Language Queries

Natural language queries allow users to interact with AI systems using everyday language. The video showcases this through the Deep Search feature, where users can search for assets like chairs using simple descriptions, highlighting the user-friendly interface of the Omniverse platform.

💡AI Extensions

AI Extensions in Omniverse refer to plugins or add-ons that integrate advanced AI capabilities into the platform. These extensions, like Rune Generator and Deep Search, enable enhanced functionalities such as automated content generation and intuitive asset searching, as demonstrated in the video.

Highlights

Mario Viviani from Nvidia's Omniverse team demonstrates a new AI extension called Rune generator.

The extension combines AI and APIs to accelerate scene building in Omniverse.

AI models GPT-4 and Deep Search are utilized in the demo.

The demo involves creating a warehouse and a reception room with common items.

A new curve is drawn to define the area for item containment in the warehouse.

Rooms are generated by selecting the curve and providing a prompt for the AI to generate content.

GPT-4 generates a list of items which are then loaded into the scene using Deep Search.

Items are gracefully disposed in the scene with a good variety, including palettes and shelvings.

The reception room is created with a prompt for customer greeting and comfortable waiting area.

The AI accurately generates a front desk, sofas, coffee table, armchairs, and an informative display stand.

GPT-4 demonstrates spatial awareness with logical item disposition and respect for area boundaries.

Deep Search is an ecosystem that allows Omniverse users to search for content using natural language queries.

Deep Search can be trained on user data and combined with GPT's natural language capabilities for powerful searches.

Deep Search Swap is used to automatically select and propose different items, such as sofas, using AI.

The demo showcases the ability to quickly iterate through different item variations using Deep Search.

The combination of AI, APIs, and Omniverse tools is highlighted as a powerful approach for future development.

The future of AI in tool creation is discussed with excitement for upcoming innovations.

Viewers are encouraged to check out Omniverse extension documentation to learn how to create new tools.

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