Automated content generation for VR experiences
TEXT_INPUT:Ask the user for the desired theme of the VR experience;;CHATGPT:Prompt ChatGPT with the user's desired theme to generate a storyline for the VR experience;;HTTP_REQUEST:Fetch relevant images or 3D models from an online API based on the generated storyline;;DALL_E:Generate custom textures or artwork for the VR experience using DALL-E;;DISPLAY_OUTPUT:Combine and display the generated storyline, images, 3D models, and custom artwork for the VR experience
Generative AI models like LLMs and image generators serve as powerful tools for enhancing VR experiences through automated content generation. For instance, Story-creating algorithms like GPT series from OpenAI can generate immersive narratives. These can be used in building interactive storytelling VR games, where story progress dynamically adapts to players' actions.
Image generators using GANs (Generative Adversarial Networks) can produce 3D objects and environment textures, providing a realistic and seamless VR experience. For example, GANs can generate intricate architectural designs for virtual buildings or diverse avatars that users can interact with.
Similarly, AI techniques can generate sound effects or background music corresponding to current VR scenarios, deepening immersion. Finally, for VR simulations used in training or education, AI can generate various real-world scenarios, helping users prepare effectively for diverse situations.
How to build with Clevis
This is an example application which you can build using Clevis: an Automated VR Experience Generator. The application takes a user-defined theme to create automated content for virtual reality experiences, integrating technologies such as ChatGPT and DALL-E from OpenAI.
The application flow begins with the Text Input step, where the user is prompted to input their desired theme for the VR experience. Following this, in the ChatGPT step, this user-provided theme is used as a prompt for the chatbot ChatGPT to write a storyline based on it.
In the subsequent Http Request step, an online API is used to source relevant images or 3D models that match the generated storyline. This helps in visually interpreting and enhancing the storyline created by ChatGPT.
Next, the DALL·E component is employed. This step uses OpenAI's DALL-E to generate custom textures or artwork that match the VR experience theme. This maintains theme coherence and enhances user experience.
Finally, in the Display Output step, all these individually created pieces - the storyline, the corresponding images, 3D models, custom artwork - are combined and presented as an immersive VR experience for the user.
Applications similar to this, leveraging AI for automated content generation, can also be constructed using Clevis.