Agenda

This session explores how AI technologies empower large-scale UGC creation in Peacekeeper Elite, enabling players to build complex content with minimal technical barriers. The talk presents four practical AI-driven UGC workflows currently applied in production. First, AI-assisted brick assembly allows players to input images or text, with the system intelligently selecting and assembling predefined building bricks into structures that match user intent. Second, the session covers AI-generated UGC avatars, including automatic model creation, rigging, and vision-based motion capture for animation and runtime driving. Third, it introduces 3D scene generation, where AI converts user inputs into images, performs semantic scene understanding, and transforms results into interactive 3D game environments. Finally, the talk demonstrates AI-based 3D relief generation, converting 2D line art into depth-enhanced height maps to enrich model surface detail. Together, these systems showcase scalable AI solutions for UGC ecosystems in live games.

Takeaway

Attendees gain concrete insights into deploying AI pipelines for UGC at scale, including brick assembly, automated avatar & motion creation, text-driven 3D scene creation, and depth-enhanced asset detailing, with real-world production examples from Peacekeeper Elite.

Intended Audience

This session targets game developers, technical artists, and UGC platform designers interested in AI-driven content creation. Familiarity with real-time engines, 3D asset workflows, or game AI systems is helpful but not strictly required.