MrNeRF (@janusch_patas)
2024-12-13 | โค๏ธ 972 | ๐ 172
[SIGGRAPH Asia โ24 (TOG)] Representing Long Volumetric Video with Temporal Gaussian Hierarchy
Contributions: โข We introduce a novel, efficient, and expressive Temporal Gaussian Hierarchy representation for long volumetric video. To our knowledge, our method is the first approach capable of handling minutes of volumetric video data.
โข We propose a Compact Appearance Model and a new rasterization implementation to facilitate real-time, high-quality dynamic view synthesis while maintaining a compact size.
โข We propose a system to efficiently model long volumetric videos for the first time and demonstrate state-of-the-art dynamic view synthesis quality on the Neural3DV [Li et al. 2022], ENeRF-Outdoor [Lin et al. 2022], and MobileStage [Xu et al. 2024b] datasets, while also achieving the best rendering speed with reduced training cost and memory usage.
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