Radiance Field Representation

Radiance fields represent 3D scenes as continuous functions mapping spatial coordinates to color and density, enabling photorealistic novel view synthesis. Recent research emphasizes efficient representations, such as those using sparse grids, binary encoding, and explicit models like Gaussian splatting, to improve rendering speed and reduce memory footprint, addressing limitations of earlier implicit neural radiance fields. These advancements are driving progress in applications like virtual and augmented reality, 3D reconstruction, and interactive media, particularly through improved handling of large-scale and dynamic scenes, including human head modeling and object-aware scene decomposition.