DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting

Understand

The increasing demand for virtual reality applications has highlighted the significance of crafting immersive 3D assets.

• We present a text-to-3D 360$^{\circ}$ scene generation pipeline that facilitates the creation of comprehensive 360$^{\circ}$ scenes for in-the-wild environments in a matter of minutes.
• Our approach utilizes the generative power of a 2D diffusion model and prompt self-refinement to create a high-quality and globally coherent panoramic image.
• This image acts as a preliminary "flat" (2D) scene representation.