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We introduce Text2Immersion, an elegant method for producing high-quality 3Dimmersive scenes from text prompts. Our proposed pipeline initiates byprogressively generating a Gaussian cloud using pre-trained 2D diffusion anddepth estimation models. This is followed by a refining stage on the Gaussiancloud, interpolating and refining it to enhance the details of the generatedscene. Distinct from prevalent methods that focus on single object or indoorscenes, or employ zoom-out trajectories, our approach generates diverse sceneswith various objects, even extending to the creation of imaginary scenes.Consequently, Text2Immersion can have wide-ranging implications for variousapplications such as virtual reality, game development, and automated contentcreation. Extensive evaluations demonstrate that our system surpasses othermethods in rendering quality and diversity, further progressing towardstext-driven 3D scene generation. We will make the source code publiclyaccessible at the project page.

Text2Immersion: Generative Immersive Scene with 3D Gaussians