Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...
StreamSTGS is a novel FVV representation designed for real-time streaming, which represents a dynamic scene using canonical 3D Gaussians, temporal features, and a deformation field. For high ...