FastScene: Text-Driven Fast 3D Indoor Scene Generation via Panoramic Gaussian Splatting

TL;DR

FastScene enables rapid, high-quality 3D indoor scene generation from text prompts by leveraging panoramic depth estimation and Gaussian Splatting, significantly reducing generation time while maintaining scene consistency.

Contribution

The paper introduces a novel fast framework for 3D scene generation from text, combining panoramic depth, view synthesis, inpainting, and Gaussian Splatting for improved speed and quality.

Findings

FastScene generates scenes in 15 minutes, at least one hour faster than previous methods.

It achieves higher scene quality and consistency compared to existing approaches.

Experimental results validate its effectiveness and efficiency.

Abstract

Text-driven 3D indoor scene generation holds broad applications, ranging from gaming and smart homes to AR/VR applications. Fast and high-fidelity scene generation is paramount for ensuring user-friendly experiences. However, existing methods are characterized by lengthy generation processes or necessitate the intricate manual specification of motion parameters, which introduces inconvenience for users. Furthermore, these methods often rely on narrow-field viewpoint iterative generations, compromising global consistency and overall scene quality. To address these issues, we propose FastScene, a framework for fast and higher-quality 3D scene generation, while maintaining the scene consistency. Specifically, given a text prompt, we generate a panorama and estimate its depth, since the panorama encompasses information about the entire scene and exhibits explicit geometric constraints. To obtain high-quality novel views, we introduce the Coarse View Synthesis (CVS) and Progressive Novel View Inpainting (PNVI) strategies, ensuring both scene consistency and view quality. Subsequently, we utilize Multi-View Projection (MVP) to form perspective views, and apply 3D Gaussian Splatting (3DGS) for scene reconstruction. Comprehensive experiments demonstrate FastScene surpasses other methods in both generation speed and quality with better scene consistency. Notably, guided only by a text prompt, FastScene can generate a 3D scene within a mere 15 minutes, which is at least one hour faster than state-of-the-art methods, making it a paradigm for user-friendly scene generation.