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.
2 day(s) with sentiment data
-
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…
-
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 …
-
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…