3D Neural

3D neural representations are revolutionizing how computers understand and interact with three-dimensional scenes. Current research focuses on improving the robustness and efficiency of these models, particularly through advancements in neural radiance fields (NeRFs) and signed distance functions (SDFs), as well as developing methods for interactive editing and manipulation of 3D neural shapes. These advancements are driving progress in applications ranging from collaborative perception in robotics to realistic 3D content generation and improved performance analysis in sports.