SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

In this work, we present SceneDreamer , an unconditional generative model for unbounded 3D scenes, which synthesizes large-scale 3D landscapes from random noise. Our framework is learned from in-the-wild 2D image collections only, without any 3D annotations. At the core of SceneDreamer is a principl...

Ausführliche Beschreibung