Complex Dynamic Scene

Complex dynamic scene understanding aims to reconstruct and predict the behavior of scenes containing multiple moving objects and changing conditions. Current research focuses on developing efficient and accurate 3D scene representations, often employing neural radiance fields (NeRFs) or Gaussian splatting, and incorporating scene flow and object motion models to handle dynamic elements. These advancements are improving the realism and speed of novel view synthesis and enabling applications such as autonomous driving, robotics, and augmented/virtual reality. The ability to accurately model and predict complex dynamic scenes is crucial for advancing numerous fields requiring robust perception and interaction with the environment.