MrNeRF (@janusch_patas)

2024-12-28 | โค๏ธ 20 | ๐Ÿ” 1


I think this could be much easier and probably in better quality achieved with https://x.com/janusch_patas/status/1867479977408836093

์ธ์šฉ

[@janusch_patas]: [SIGGRAPH Asia โ€˜24 (TOG)] Representing Long Volumetric Video with Temporal Gaussian Hierarchy

Contributions: โ€ข We introduce a novel, efficient, and expressive Temporal Gaussian Hierarchy representatiโ€ฆ


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MrNeRF (@janusch_patas)

[SIGGRAPH Asia โ€˜24 (TOG)] Representing Long Volumetric Video with Temporal Gaussian Hierarchy

Contributions: โ€ข 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.

โ€ข 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.

โ€ข 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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