Jumin Lee and Sebin Lee presented their recent research, “SemCity: Semantic Scene Generation with Triplane Diffusion,” at CVPR 2024 in Seattle. This study introduces SemCity, a 3D diffusion model for generating realistic outdoor scenes using a triplane representation, enabling tasks like scene inpainting and semantic completion. Their method achieves notable results on the SemanticKITTI dataset, supporting flexible object manipulation and large-scale scene generation.
