COM3D: Leveraging Cross-View Correspondence and Cross-Modal Mining for 3D Retrieval

arXiv:2405.04103v1 Announce Type: new
Abstract: In this paper, we investigate an open research task of cross-modal retrieval between 3D shapes and textual descriptions. Previous approaches mainly rely on point cloud encoders for feature extraction, which may ignore key inherent features of 3D shapes, including depth, spatial hierarchy, geometric continuity, etc. To address this issue, we propose COM3D, making the first attempt to exploit the cross-view correspondence and cross-modal mining to enhance the retrieval performance. Notably, we augment the 3D features …

abstract arxiv cloud continuity cs.cv etc extraction feature feature extraction features key mining modal paper research retrieval spatial textual type view