3D Object Retrieval

3D object retrieval focuses on efficiently finding 3D models matching a given query, whether that query is text, a sketch, or another 3D model. Current research emphasizes robust methods for handling diverse query types and complex 3D data representations, often employing deep learning architectures like transformers and attention mechanisms to fuse information from multiple views or modalities (e.g., point clouds and images). This field is crucial for applications ranging from robotics and virtual reality to medical image analysis, promising advancements in efficient data management and improved user interaction with 3D data.