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StackGen3D: Generating Stable 3D Block Stack Structures from Multiview Silhouettes

The StackGen3D framework generates stable block assembly structures from a given block inventory and three orthographic silhouette images. It first uses a physics-informed graph neural network (PI-GNN) to model support relationships between blocks and to curate a dataset of stable structures, then trains a conditional flow-matching model to learn the multimodal distribution of block configurations that match the target silhouettes. In preliminary experiments, Best-of-10 selection raised physical stability from 45.3% to 72.4%, with a silhouette IoU of 0.970.

Part of the event: StackGen3D: Generating Stable Block Stacking from Multi-View Silhouettes

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