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 diverse landscapes with 3D consistency, well-defined depth, and free camera trajectory. The framework comprises an efficient 3D scene representation, generative scene parameterization, and a neural volumetric renderer. SceneDreamer does not require 3D annotations and demonstrates superiority over state-of-the-art methods in generating vivid and diverse unbounded 3D worlds.

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Features

Advantages

  • Does not require 3D annotations
  • Superiority over state-of-the-art methods
  • Efficient training with disentangled geometry and semantics
  • Generative neural hash grid for generalizable features
  • Produces photorealistic images

Disadvantages

  • Complex learning paradigm
  • Requires in-the-wild 2D image collections for training
  • May have limitations in handling extremely complex scenes

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