Scene Space

Scene space research focuses on representing and manipulating 3D scenes computationally, primarily aiming for accurate and efficient novel view synthesis and scene reconstruction. Current efforts leverage neural radiance fields (NeRFs) and related architectures, often incorporating techniques like multi-baseline approaches and adaptive sampling to handle complex scenes and improve rendering quality from limited input views. This work has significant implications for applications such as 3D modeling, augmented and virtual reality, and geographic information systems, by enabling more realistic and efficient scene generation and manipulation.