Point Transformers
PulseAugur coverage of Point Transformers — every cluster mentioning Point Transformers across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Lang3DSeg achieves annotation-free 3D LiDAR segmentation
Researchers have developed Lang3DSeg, a novel point transformer model for open-vocabulary 3D LiDAR segmentation. This method bypasses the need for manual annotation by projecting 2D vision-language models onto 3D data, …
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Self-supervised Point Transformers Enable Emergent 3D Instance Segmentation
Researchers have developed a novel method called TokenGraph3D for unsupervised 3D instance segmentation using self-supervised point transformers. This approach leverages the internal representations of these transformer…
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MedPCFM advances medical point cloud completion using flow matching and transformers
Researchers have developed MedPCFM, a novel approach for medical point cloud completion that integrates Point Transformers (PTv3) with flow matching. This method, evaluated on datasets like SkullFix and Mandibular Defec…