Core Viewpoint - The article discusses the challenges and advancements in the field of 3D Generative Synthesis (3DGS) for autonomous driving, emphasizing the importance of a structured learning path for newcomers in the industry [2][6]. Group 1: Course Overview - The course titled "3DGS Theory and Algorithm Practical Tutorial" aims to provide a comprehensive learning roadmap for 3DGS, covering both theoretical foundations and practical applications [2][6]. - The course is designed in collaboration with industry algorithm experts and spans over two and a half months, starting from December 1 [13]. Group 2: Course Structure - Chapter 1 introduces the background knowledge of 3DGS, including basic concepts of computer graphics, implicit and explicit representations of 3D space, and common development tools like SuperSplat and COLMAP [6][7]. - Chapter 2 delves into the principles and algorithms of 3DGS, covering dynamic reconstruction, surface reconstruction, and ray tracing, with practical exercises using the NVIDIA open-source 3DGRUT framework [7][8]. - Chapter 3 focuses on the application of 3DGS in autonomous driving simulation, highlighting key works and practical tools like DriveStudio for further learning [8][9]. - Chapter 4 discusses important research directions in 3DGS, including extensions of COLMAP and depth estimation, and their relevance to both industry and academia [9]. - Chapter 5 covers Feed-Forward 3DGS, detailing its development history and algorithmic principles, along with discussions on recent algorithms like AnySplat and WorldSplat [10]. Group 3: Interaction and Support - Chapter 6 is dedicated to online discussions and Q&A sessions, allowing participants to engage with instructors on industry pain points and job market demands [11]. - The course encourages continuous interaction between students and professionals from both academia and industry, enhancing networking opportunities [15].