Based NeRF

Based NeRFs (Neural Radiance Fields) aim to improve the efficiency and scalability of NeRFs for various applications, including novel view synthesis and scene reconstruction. Current research focuses on addressing limitations like long training times and memory constraints through techniques such as multi-view stereo (MVS) integration, Gaussian splatting for faster rendering, and distributed scene representations. These advancements are significant for enabling real-time rendering, handling large-scale scenes, and facilitating applications in robotics, autonomous driving, and 3D human modeling, where traditional NeRFs have faced challenges.