DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

Figure 1. Comparison of the state-of-the-arts FreeNeRF [53] and SparseNeRF [42] with our DNGaussian utilizing three views for training. DNGaussian stands out by delivering comparably high-quality synthesized views and superior details with a remarkable 25× reduction in time and significantly lower memory overhead during training, while attaining the fastest and the only real-time rendering speed of 300 FPS. The point cloud of Gaussians illustrates the detailed and explainable spatial representation learned through our method.