Core Viewpoint - The article discusses the current state of embodied intelligence, focusing on data collection and utilization, and emphasizes the importance of 3D/4D world models in enhancing spatial understanding and interaction capabilities in autonomous driving and related fields [3][4]. Group 1: 3D/4D World Models - The development of 3D/4D world models has diverged into two main approaches: implicit and explicit models, each with its own limitations [4][7]. - Implicit models enhance spatial understanding by extracting 3D/4D content, while explicit models require detailed structural information to ensure system stability and usability [7][8]. - Current research primarily focuses on static 3D scenes, with methods for constructing and enriching environments being well-established and ready for practical application [8]. Group 2: Challenges and Solutions - Existing challenges in 3D geometry modeling include the rough optimization of physical surfaces and the visual gap between generated meshes and real-world applications [9][10]. - The integration of mesh supervision and structured processing is being explored to improve surface quality in 3D reconstruction [10]. - The need for cross-physics simulator platform deployment is highlighted, as existing solutions often rely on specific physics parameters from platforms like Mujoco [10]. Group 3: Video Generation and Motion Understanding - The emergence of large-scale data cleaning and annotation has improved motion prediction capabilities in 3D models, with advancements in 3DGS/4DGS and world model integration [11]. - Current video generation techniques struggle with understanding physical interactions and changes in the environment, indicating a gap in the ability to simulate realistic motion [15]. - Future developments may focus on combining simulation and video generation to enhance the understanding of physical properties and interactions [15]. Group 4: Future Directions - The article predicts that future work will increasingly incorporate physical knowledge into 3D/4D models, aiming for better direct physical understanding and visual reasoning capabilities [16]. - The evolution of world models is expected to become modular within embodied intelligence frameworks, depending on ongoing research and simplification of world model definitions [16].