面向工业界的3DGS全栈学习路线图（前馈GS等）

Core Insights - The rapid technological iteration in 3DGS (3D Graphics Systems) is highlighted, with advancements from static reconstruction to dynamic and surface reconstruction, culminating in feed-forward 3DGS [1] - A comprehensive learning roadmap for 3DGS has been developed to assist newcomers in mastering both theoretical and practical aspects of the technology [1] Course Overview - The course is structured into six chapters, starting with foundational knowledge in computer graphics and progressing through principles, algorithms, and applications in autonomous driving [5][6][7][8][9] - The course aims to provide a detailed understanding of 3DGS, including tools like SuperSplat and frameworks such as Gsplat and DriveStudio [5][6][7] Target Audience - The course is designed for individuals with a background in computer graphics, visual reconstruction, and programming, specifically those familiar with Python and PyTorch [14] Learning Outcomes - Participants will gain a solid grasp of 3DGS theory, algorithm development, and industry applications, enabling them to engage in discussions about job demands and industry challenges [10][12]