Compositional 3D Scene

Compositional 3D scene generation aims to create realistic and complex 3D scenes by assembling individual objects and elements, mirroring the complexity of real-world environments. Current research focuses on leveraging advancements in diffusion models and neural fields, often incorporating scene graphs or layouts to guide the generation process and address challenges like object placement and lighting consistency. These methods improve upon previous approaches by enabling more control over scene composition, higher fidelity, and the generation of dynamic scenes with realistic motion. This field has significant implications for various applications, including robotics, film production, and video game development, by automating and accelerating the creation of complex 3D environments.