Point Transformer-Based Salient Object Detection Network for 3-D Measurement Point Clouds
PulseAugur coverage of Point Transformer-Based Salient Object Detection Network for 3-D Measurement Point Clouds — every cluster mentioning Point Transformer-Based Salient Object Detection Network for 3-D Measurement Point Clouds across labs, papers, and developer communities, ranked by signal.
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New Graph-Transformer Model Enhances 3D Keypoint Detection
Researchers have developed a novel 3D keypoint detection method that integrates a learned suppression module with a Point Transformer backbone enhanced by a directional graph neural network. This approach aims to improv…
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New LiDAR sampling method improves 3D construction scene analysis
Researchers have developed a new incidence-aware sampling strategy for individual LiDAR scans to improve 3D scene understanding in construction. This method addresses challenges like limited surface coverage and varying…
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New SCALP framework improves 3D shape modeling from imperfect scans
Researchers have developed SCALP, a novel framework designed to create consistent statistical shape models from imperfect 3D photogrammetry scans. This two-stage system first employs a semi-supervised Point Transformer …
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New 3D simulator learns physics from RGB videos
Researchers have developed 3DGSim, a novel 3D simulator capable of learning physical interactions directly from multi-view RGB videos. This framework integrates 3D scene reconstruction, particle dynamics prediction, and…