PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes
Researchers have developed PrITTI, a new latent diffusion model for generating 3D semantic urban scenes. Unlike previous voxel-based methods, PrITTI uses a primitive-based representation, allowing for more controllable and editable scene generation. This approach achieves state-of-the-art quality with lower memory usage and faster inference, enabling applications like scene editing and photo-realistic synthesis. AI
IMPACT Introduces a novel primitive-based representation for 3D scene generation, potentially improving efficiency and editability over voxel-based methods.