UnderOneFacade is a large-scale cross-continent 3D facade point cloud benchmark with harmonized labels that reveals existing segmentation models achieve at most 33 IoU on fine-grained architectural elements and degrade across geographic domains.
In: Proceedings of the IEEE conference on computer vision and pattern recognition
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JointHOI jointly generates hand-object motion and distance-based contact maps in one diffusion stage to improve temporal stability and physical plausibility over prior multi-stage HOI methods.
Presents an SSM-based hierarchical feature learning method for medical point clouds that reports superior performance on classification, completion, and segmentation using a new dataset MedPointS.
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UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset
UnderOneFacade is a large-scale cross-continent 3D facade point cloud benchmark with harmonized labels that reveals existing segmentation models achieve at most 33 IoU on fine-grained architectural elements and degrade across geographic domains.
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JointHOI: Jointly Generating Contact Maps Enhances Hand Object Interaction Generation
JointHOI jointly generates hand-object motion and distance-based contact maps in one diffusion stage to improve temporal stability and physical plausibility over prior multi-stage HOI methods.
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Hierarchical Feature Learning for Medical Point Clouds via State Space Model
Presents an SSM-based hierarchical feature learning method for medical point clouds that reports superior performance on classification, completion, and segmentation using a new dataset MedPointS.
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