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.