华为坚定要走的世界模型路线，到底是什么？

Core Viewpoint - The article discusses the significance of world modeling in the field of artificial intelligence and robotics, emphasizing the need for a structured approach to 3D and 4D world modeling to enhance autonomous driving and robotics applications [5][7][13]. Group 1: Introduction to World Modeling - World modeling is a foundational task in AI and robotics, aimed at enabling agents to understand, represent, and predict their dynamic environments [5][7]. - Recent advancements in generative modeling techniques have primarily focused on 2D data, while the real-world scenarios are inherently 3D and dynamic, necessitating the use of native 3D and 4D representations [5][6][9]. Group 2: Importance of Native 3D and 4D Representations - Native 3D and 4D signals encode metric geometry, visibility, and motion information, making them essential for actionable modeling in safety-critical scenarios [9][10]. - These representations provide the necessary constraints for generating visually realistic frames while adhering to geometric laws and causal relationships [9][10]. Group 3: Research Contributions - The review provides precise definitions of "world models" and "3D/4D world modeling," offering clarity and a unified terminology for the research community [13][14]. - A hierarchical classification system is proposed, categorizing existing methods based on representation modalities such as VideoGen, OccGen, and LiDARGen [13][14]. - The review encompasses datasets and evaluation protocols specifically suited for 3D/4D scenarios, supporting comprehensive benchmarking for current and future world modeling methods [13][14]. Group 4: Methodology and Classification - The article outlines a structured classification of world modeling methods based on representation modalities, detailing the advantages and limitations of each approach [16][42]. - It distinguishes between generative and predictive world models, highlighting their dual capabilities to imagine diverse and controllable worlds and predict reasonable future evolutions under specific conditions [27][28]. Group 5: Applications and Future Directions - The review discusses practical applications of 3D/4D world models in autonomous driving, robotics, and simulation environments, emphasizing their growing importance in both academia and industry [16][18][55]. - It identifies key challenges and potential future research directions, aiming to pave the way for continuous innovation in the field [16][18].