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CVPR2024顶会

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

Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu

2024年份
98顶会引用

摘要

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.

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