Object Centric Scene

Object-centric scene representation aims to decompose complex visual scenes into individual objects, enabling more robust and interpretable machine perception. Current research focuses on developing unsupervised learning methods, often employing attention mechanisms within transformer architectures or neural radiance fields (NeRFs), to achieve this decomposition, with a strong emphasis on handling multiple views and dynamic scenes. These advancements are crucial for improving performance in various applications, including robotics, 3D scene generation, and human-computer interaction, by providing more structured and semantically meaningful scene representations.