First 3D Controllable Model

Research on controllable 3D models focuses on developing efficient and intuitive methods for generating and manipulating three-dimensional scenes and objects. Current efforts leverage techniques like neural radiance fields (NeRFs), diffusion models, and Gaussian splatting, often incorporating multimodal inputs such as images, text descriptions, and top-view layouts to achieve fine-grained control over the generation process. These advancements aim to streamline 3D content creation across diverse applications, from industrial digital twinning and robotics to interactive entertainment and medical imaging, reducing the time and expertise required for complex 3D modeling tasks. The development of robust and scalable pipelines for 3D model creation is a key focus, enabling wider accessibility and application of this technology.