Explicit 3D Representation

Explicit 3D representation aims to create detailed, readily manipulable 3D models, overcoming limitations of implicit methods like neural radiance fields (NeRFs) which are computationally expensive and difficult to integrate into existing 3D environments. Current research focuses on developing efficient algorithms, such as Gaussian splatting, and hybrid approaches combining implicit and explicit representations (e.g., using meshes to guide neural fields), to improve rendering quality, editing capabilities, and training speed. These advancements are significant for applications ranging from virtual and augmented reality to robotics and computer-aided design, enabling more realistic and interactive 3D experiences.