AI RESEARCH
SegVGGT: Joint 3D Reconstruction and Instance Segmentation from Multi-View Images
arXiv CS.CV
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ArXi:2603.19926v1 Announce Type: new 3D instance segmentation methods typically rely on high-quality point clouds or posed RGB-D scans, requiring complex multi-stage processing pipelines, and are highly sensitive to reconstruction noise. While recent feed-forward transformers have revolutionized multi-view 3D reconstruction, they remain decoupled from high-level semantic understanding. In this work, we present SegVGGT, a unified end-to-end framework that simultaneously performs feed-forward 3D reconstruction and instance segmentation directly from multi-view RGB images. By.