The field of 3D world modeling and video generation is rapidly advancing, with a focus on developing more realistic and interactive models. Recent research has explored the use of geometry-enhanced frameworks, unified video models, and text-driven 3D scene generation to improve the quality and consistency of generated videos and 3D scenes. Notably, the development of methods such as FantasyWorld, Drag4D, and PanoWorld-X has enabled the creation of high-quality 3D world models and videos with improved spatial consistency and temporal coherence. Additionally, the introduction of techniques like GaussEdit and 4DGS-Craft has facilitated more efficient and controllable 3D scene editing. The use of neural simulation and progressive 3D unfolding has also been explored in NeoWorld, allowing for the generation of interactive 3D virtual worlds from a single input image. Furthermore, research has investigated the potential of world models to benefit vision-language models, with promising results in spatial reasoning and multi-frame reasoning. Some particularly noteworthy papers in this area include FantasyWorld, which introduces a geometry-enhanced framework for joint modeling of video latents and an implicit 3D field, and PanoWorld-X, which proposes a novel framework for high-fidelity and controllable panoramic video generation. Overall, these advances have the potential to enable a wide range of applications, from AR/VR content creation and robotic navigation to video editing and generation.