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A. E. Seghrouchni

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Open access 2026

Bi-SGL: Bidirectional, Spatially Grounded, and Language-Informed Framework for Semantic Scene Completion

Bi-SGL is proposed, a Bidirectional, Spatially Grounded, and Language-informed framework for point cloud semantic scene completion that improves semantic completion accuracy among evaluated point cloud SSC baselines while using substantially fewer parameters than cascaded dense-fusion models.

Houda Saffi, N. Otberdout, A. E. Seghrouchni · IEEE Access · 0 citations