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3D Vision
Language-Action Models
Generative World Model
Embodied Environments
3D-VLA
3D-VLA: A Generative World Model

3D-VLA steps into the spotlight by aligning 3D perception with language and actions. It is constructed atop an LLM and introduces interaction tokens for engagement within embodied environments. The model’s generative capabilities are further enhanced by embodied diffusion models, predicting goal images and point clouds.

  • Embodied foundation models fuse 3D perception, reasoning, and action.
  • Interaction tokens allow dynamic engagement in environments.
  • Embodied diffusion models enhance generative capabilities.
  • Curated large-scale 3D embodied instruction dataset for model training.
  • Shows promise for real-world applications, outperforming baselines on held-in datasets.

The development of 3D-VLA marks an innovative leap in foundation models, illustrating the incredible synthesis of language understanding and action prediction in three-dimensional contexts. It underscores the untapped potential of AI models in human-machine interactions and invites research into their application in robotics and virtual environments. Explore 3D-VLA

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