SuperAPI AI Directory

ImmerseGen - A 3D world generation framework jointly launched by ByteDance and Zhejiang University

Author: AI小集 · Original source: AI工具集

What is ImmerseGen

ImmerseGen is an innovative 3D world generation framework jointly launched by ByteDance's PICO team and Zhejiang University. Based on user-input text prompts, the framework uses agent-guided asset design and arrangement to generate compact agents with alpha textures and create panoramic 3D worlds. This approach reduces reliance on complex assets and can ensure the diversity and realism of the generated worlds. ImmerseGen enhances multimodal immersion by adding dynamic visual effects and synthesized ambient sound effects, making it especially suitable for immersive VR experiences.

ImmerseGen

Main features of ImmerseGen

  • Base terrain generation: Based on user text input, retrieves the base terrain and applies terrain-conditioned texture synthesis to generate RGBA terrain textures and a skybox aligned with the base mesh, forming the base world.
  • Environment enrichment: Introduces lightweight assets. A VLM (vision-language model)-based asset agent selects suitable templates, designs detailed asset prompts, and determines the arrangement of assets in the scene. Each placed asset is instantiated as an asset with an alpha texture through context-aware RGBA texture synthesis.
  • Multimodal immersion enhancement: Adds dynamic visual effects and synthesized ambient sound effects to the generated scene to enhance the user's sense of immersion.

Technical principles of ImmerseGen

  • Agent-guided asset design and arrangement: Uses an agent to guide asset design and arrangement. The agent understands the user-input text based on a VLM, selects suitable asset templates, and designs detailed asset prompts to ensure that the generated assets are consistent with user needs.
  • Terrain-conditioned texture synthesis: In the base terrain generation stage, applies terrain-conditioned texture synthesis technology to generate RGBA terrain textures and a skybox aligned with the base mesh, ensuring the terrain's realism and visual effect.
  • Context-aware RGBA texture synthesis: For each placed asset, uses context-aware RGBA texture synthesis technology to generate an asset with an alpha texture based on the surrounding environment, allowing the asset to blend better into the scene.
  • Multimodal fusion: Adds dynamic visual effects and synthesized ambient sound effects to enhance the user's multimodal immersion, allowing users to obtain a rich experience in both vision and hearing.

ImmerseGen project address

  • Project official website:https://immersegen.github.io/
  • Technical paper:https://immersegen.github.io/static/assets/paper/paper.pdf

Application scenarios of ImmerseGen

  • Virtual reality (VR) and augmented reality (AR): ImmerseGen can generate realistic 3D environments for VR scenarios such as virtual tourism and virtual meetings, providing immersive experiences; in the AR field, the generated 3D content blends with reality, assisting visual display in fields such as industrial design and architectural design.
  • Game development: Helps developers quickly create game scene prototypes, saving time and effort, allowing them to focus on game logic design, dynamically generate game environments according to game plots and player behavior, and bring players rich and diverse experiences.
  • Architectural design: Generates 3D models of buildings and urban environments, facilitating virtual display and client communication, allowing clients to experience the planning effects in advance and provide feedback.
  • Education: In the education field, generates virtual laboratory environments, improving the fun and interactivity of student learning.
  • Film and television production: Generate virtual scenes for film and television shooting, reducing the cost and time of on-location shooting. The generated 3D content serves as the basis for special effects production, helping special effects teams quickly generate high-quality visual effects.