Feed-forward 3DGS，正在吸引业内更多的关注......

Core Insights - The article discusses the rapid advancements in 3D Gaussian Splatting (3DGS) technology, highlighting its significance in the field of autonomous driving and the growing interest in this area among professionals [2][4]. Group 1: Course Overview - A new course titled "3DGS Theory and Algorithm Practical Tutorial" has been developed to provide a structured learning path for individuals interested in 3DGS technology, covering both theoretical and practical aspects [4]. - The course is designed to help participants understand point cloud processing, deep learning theories, real-time rendering, and coding practices [4]. Group 2: Course Structure - The course consists of six chapters, starting with foundational knowledge in computer graphics and progressing to advanced topics such as dynamic reconstruction and surface reconstruction [8][9]. - Each chapter includes practical assignments and discussions on relevant algorithms and frameworks, such as the use of NVIDIA's open-source 3DGRUT framework [9][10]. Group 3: Target Audience and Requirements - The course is aimed at individuals with a background in computer graphics, visual reconstruction, and programming, specifically those familiar with Python and PyTorch [17]. - Participants are expected to have a GPU with a computational power of at least 4090 and a basic understanding of probability and linear algebra [17]. Group 4: Learning Outcomes - By the end of the course, participants will have a comprehensive understanding of the 3DGS technology stack, including algorithm development frameworks and the ability to train open-source models [17]. - The course also facilitates networking opportunities with peers from academia and industry, enhancing career prospects in internships and job placements [17].