3D Modality

3D modality research focuses on effectively representing and analyzing three-dimensional data, primarily aiming to improve scene understanding and object recognition in various applications. Current efforts concentrate on integrating 3D data with other modalities, such as 2D images and natural language, using techniques like multi-modal instruction tuning and multi-view fusion with transformer networks. This interdisciplinary approach enhances the robustness and accuracy of 3D analysis, impacting fields like medical imaging, robotics, and computer vision through improved object segmentation, anomaly detection, and virtual reality applications.