Speakers
Zhipeng Tan, Senior Application Researcher, Tencent Games
As a Senior Application Researcher, Zhipeng has dedicated his efforts to harnessing AI technology for game asset production since joining the company. His work involves two key areas: First, to employ differentiable rendering techniques to automate the downgrading of high-specification art assets, encompassing model LOD (Level of Detail) optimization, SOC (Software Occlusion Culling) proxy generation, and skeletal animation simplification etc. Second, he utilizes AIGC (Artificial Intelligence Generated Content) algorithms to automatically produce high-quality assets. The overarching goal is to enhance the quality and efficiency of game asset development through AI, thereby reducing production costs while effectively tackling the challenges of game content diversification, multi-platform deployment, and globalization.