3D Scene Intelligent Creation Engine: AIGC Technology for E-commerce

This paper introduces a 3D Scene Intelligent Creation Engine that leverages AIGC (AI-Generated Content) technology to revolutionize 3D scene creation for e-commerce. The engine addresses the traditional challenges of high complexity, cost, and barriers in 3D scene production by automating the creation process, enabling both merchants and consumers to participate in 3D content creation and consumption.

The paper outlines the 3D scene production workflow, which typically involves six steps: game planning, concept art creation, 3D modeling, rigging, animation, and scene editing. For e-commerce, this process is adapted to create virtual stores, with scenes categorized into single product displays, shop displays, commercial street scenes, and virtual city scenes.

The core technologies of the engine include:

1. 3D Scene Intelligent Creation Engine Architecture : A comprehensive system that integrates various AI algorithms for automated scene generation.

2. Foreground-Background Generation Technology : This technology ensures that generated 3D scenes match the products or stores they are designed to showcase. It includes two approaches: simple scene generation for abstract backgrounds (e.g., for phones) and complex scene generation for detailed environments (e.g., for furniture).

3. Intelligent Camera Technology (运镜技术) : This technology automates the process of capturing high-quality images, videos, and panoramas from 3D scenes. It includes two methods: camera-based composition techniques and reverse engineering from existing compositions to extract camera parameters.

4. Scene Material Value Estimation Technology : This technology evaluates the effectiveness of generated scenes to optimize their distribution, ensuring maximum impact in various e-commerce contexts like search results and recommendations.

5. Model Generation Technology : This technology uses AIGC to create 3D models and textures, reducing the cost and time required for asset creation, especially for small and medium-sized merchants.

The paper also discusses practical applications of the engine, including image generation for product listings, video creation for product detail pages, and 3D space displays for virtual showrooms. These applications have been successfully implemented in platforms like Taobao and Tmall, significantly reducing costs and improving efficiency for merchants.

The engine represents a significant step towards democratizing 3D content creation, enabling a transition from traditional PGC/UGC models to AIGC, and laying the foundation for future metaverse applications in e-commerce.