The field of 3D shape generation and simulation is advancing rapidly, with a growing focus on incorporating physical properties and constraints to enhance realism. Researchers are exploring new methods to integrate physics-based guidance into generative models, allowing for more accurate and realistic shape synthesis. This trend is evident in the development of surface-based frameworks for aerodynamic simulation, which enables efficient and fine-grained interaction between surfaces and fluids. Another area of innovation is the reconstruction of physically consistent, kinematic part-level articulated objects from single RGB images, which has significant implications for embodied AI, robotics, and interactive scene understanding. Noteworthy papers include: PhysGen, which proposes a unified physics-based 3D shape generation pipeline, and Gaussian Swaying, which presents a surface-based framework for aerodynamic simulation using 3D Gaussians. SPARK is also notable for its framework for reconstructing physically consistent, kinematic part-level articulated objects.