Sketch2Scene: Automatic Generation of Interactive 3D Game Scenes from User's Casual Sketches

TL;DR

This paper introduces a deep learning approach that transforms casual sketches into interactive 3D game scenes by leveraging 2D diffusion models and image understanding to guide 3D content creation.

Contribution

It presents a novel pipeline combining 2D diffusion models, image segmentation, and procedural generation to create 3D game scenes from sketches, addressing data scarcity issues.

Findings

Generates high-quality, interactive 3D scenes from sketches

Accurately follows user design intentions in scene layout

Integrates seamlessly with game engines like Unity and Unreal

Abstract

3D Content Generation is at the heart of many computer graphics applications, including video gaming, film-making, virtual and augmented reality, etc. This paper proposes a novel deep-learning based approach for automatically generating interactive and playable 3D game scenes, all from the user's casual prompts such as a hand-drawn sketch. Sketch-based input offers a natural, and convenient way to convey the user's design intention in the content creation process. To circumvent the data-deficient challenge in learning (i.e. the lack of large training data of 3D scenes), our method leverages a pre-trained 2D denoising diffusion model to generate a 2D image of the scene as the conceptual guidance. In this process, we adopt the isometric projection mode to factor out unknown camera poses while obtaining the scene layout. From the generated isometric image, we use a pre-trained image understanding method to segment the image into meaningful parts, such as off-ground objects, trees, and buildings, and extract the 2D scene layout. These segments and layouts are subsequently fed into a procedural content generation (PCG) engine, such as a 3D video game engine like Unity or Unreal, to create the 3D scene. The resulting 3D scene can be seamlessly integrated into a game development environment and is readily playable. Extensive tests demonstrate that our method can efficiently generate high-quality and interactive 3D game scenes with layouts that closely follow the user's intention.