SceneDreamer

SceneDreamer

Unbounded 3D Scene Generation from 2D Images

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SceneDreamer is an AI tool that learns to generate unbounded 3D scenes from in-the-wild 2D image collections. It synthesizes large-scale 3D landscapes with diverse styles, 3D consistency, well-defined depth, and free camera trajectory. The framework is based on an efficient 3D scene representation, generative scene parameterization, and a neural volumetric renderer trained from 2D images.

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Features

Advantages

  • Learned from in-the-wild 2D image collections only
  • No need for 3D annotations
  • Efficient training with quadratic complexity representation
  • Generates vivid and diverse unbounded 3D worlds
  • Superiority over state-of-the-art methods in scene generation

Disadvantages

  • Requires a large amount of 2D image data for training
  • Complex neural network architecture may require high computational resources
  • May have limitations in generating highly detailed or specific scenes

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