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Bidirectional cross-modal image-guided point cloud completion with multi-scale progressive refinement
DOI:10.1016/j.patcog.2026.113123.png)
摘要
En 中文
• A bidirectional module bridges the gap between point cloud and image features. • A dual-stream refinement boosts shape and detail generation for point clouds. • BiMPR-Net generates accurate point clouds and achieves top results on ShapeNet-ViPC.
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
SAPFormer: Shape-aware propagation Transformer for point cloudsSAPFormer:面向点云的形状感知传播Transformer
PATTERN RECOGNITION
IF7.6
Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey通过深度迁移学习推进3D点云理解: 综合调查
INFORMATION FUSION
IF15.5

