SpaCeFormer delivers 11.1 zero-shot mAP on ScanNet200 (2.8x prior proposal-free best) and runs 2-3 orders of magnitude faster than multi-stage 2D+3D pipelines by using spatial window attention and Morton-curve serialization to predict instance masks from learned queries.
views” of the same subject. Your job is to synthesize these views into one cohesive description that focuses on the subject’s intrinsic properties. Note that this “object
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SpaCeFormer: Fast Proposal-Free Open-Vocabulary 3D Instance Segmentation
SpaCeFormer delivers 11.1 zero-shot mAP on ScanNet200 (2.8x prior proposal-free best) and runs 2-3 orders of magnitude faster than multi-stage 2D+3D pipelines by using spatial window attention and Morton-curve serialization to predict instance masks from learned queries.