Non Rigid Scene

Non-rigid scene reconstruction focuses on accurately modeling dynamic, deforming environments, a crucial challenge in computer vision and robotics. Current research emphasizes disentangling static and dynamic elements within scenes, often employing neural radiance fields (NeRFs) or probabilistic methods to handle inconsistencies caused by moving objects. These advancements improve depth estimation, scene understanding, and 3D reconstruction accuracy, with applications ranging from autonomous driving and robotics to virtual and augmented reality. The development of robust and efficient algorithms for handling non-rigid scenes is vital for creating more realistic and interactive virtual environments and enabling safer and more effective interactions between robots and dynamic real-world settings.