Interactive 3D

Interactive 3D segmentation focuses on developing efficient and accurate methods for segmenting objects within three-dimensional data, often leveraging user input to guide the process and improve results. Current research emphasizes the use of deep learning models, particularly those incorporating attention mechanisms and interactive refinement strategies, to achieve high-quality segmentations with minimal user interaction. These advancements are improving the speed and accuracy of tasks such as medical image analysis and 3D shape editing, impacting fields ranging from healthcare to computer graphics. The development of robust and efficient interactive tools is crucial for handling the increasing volume and complexity of 3D data.