Image Collection

Image collection research focuses on efficiently organizing, analyzing, and synthesizing information from large, often unstructured, visual datasets. Current efforts concentrate on developing algorithms and models, such as neural radiance fields (NeRFs) and 3D Gaussian splatting, that enable tasks like novel view synthesis, 3D reconstruction from sparse or unconstrained images, and semantic clustering guided by natural language. These advancements have significant implications for various fields, including computer vision, digital art, e-commerce, and medical imaging, by improving search, retrieval, and analysis capabilities for massive image collections.