
Introducing SceneDreamer, an innovative tool that allows you to create unbounded 3D scenes with ease. With SceneDreamer, you can generate large-scale 3D landscapes from random noises, all without the need for any 3D annotations. This revolutionary framework is built on a solid foundation of efficient and expressive 3D scene representation, generative scene parameterization, and an effective renderer that leverages the knowledge from 2D images.
At the heart of SceneDreamer is an efficient bird’s-eye-view (BEV) representation, generated from simplex noise, which includes a height field and a semantic field. The height field accurately captures the surface elevation of the 3D scenes, while the semantic field provides intricate scene semantics. This unique BEV scene representation allows for quadratic complexity in representing 3D scenes, disentangling geometry, semantics, and enabling efficient training.
One of the standout features of SceneDreamer is the introduction of a generative neural hash grid. This feature parameterizes the latent space by considering both 3D positions and scene semantics. By doing so, it encodes generalizable features across scenes and aligns content seamlessly. The result is a tool that can create stunning and diverse 3D worlds.
To bring your creations to life, SceneDreamer employs a neural volumetric renderer. This renderer, learned from 2D image collections through adversarial training, ensures that the generated images are nothing short of photorealistic.
SceneDreamer has been rigorously tested and has proven to be highly effective compared to other existing methods. Its ability to generate vivid and diverse unbounded 3D worlds sets it apart, making it the go-to tool for all your 3D scene creation needs.
Whether you’re a professional in the field or simply interested in exploring the endless possibilities of 3D scene generation, SceneDreamer is the tool for you. Experience the power of SceneDreamer and unlock your creativity today.