GridFlow framework generates seamless 3D city point clouds

Researchers have introduced GridFlow, a novel framework designed for generating large-scale, seamless 3D point clouds of urban environments. This system utilizes a Grid-Aligned VAE to encode city tiles into a latent grid, ensuring topological consistency and facilitating seamless generation across boundaries. A conditional rectified flow model synthesizes geometry, while a diffusion colorizer handles both visible and occluded surfaces. To facilitate evaluation, the team also developed City3D-MultiGen, a benchmark dataset comprising over 163,000 annotated tiles from Melbourne and London. AI

IMPACT This framework could advance the creation of detailed 3D environments for applications like urban planning and mixed reality.

RANK_REASON The cluster describes a new research paper detailing a novel framework and dataset for 3D point cloud generation. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• City3D-MultiGen
• DagsHub
• Grid-Aligned VAE
• GridFlow
• Hugging Face
• London
• Melbourne

• paper
• other

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