FlameGS: Reconstruct flame light field via Gaussian Splatting

• URL: http://arxiv.org/abs/2412.19841v1
• Date: Tue, 24 Dec 2024 11:00:26 GMT
• Title: FlameGS: Reconstruct flame light field via Gaussian Splatting
• Authors: Yunhao Shui, Fuhao Zhang, Can Gao, Hao Xue, Zhiyin Ma, Gang Xun, Xuesong Li,
• Abstract summary: We propose a novel representation method for flames inspired by flame simulation technology. It achieves an average structural similarity index of 0.96 between actual images and predicted 2D projections, along with a Peak Signal-to-Noise Ratio of 39.05.
• Score: 4.907647602688227
• License:
• Abstract: To address the time-consuming and computationally intensive issues of traditional ART algorithms for flame combustion diagnosis, inspired by flame simulation technology, we propose a novel representation method for flames. By modeling the luminous process of flames and utilizing 2D projection images for supervision, our experimental validation shows that this model achieves an average structural similarity index of 0.96 between actual images and predicted 2D projections, along with a Peak Signal-to-Noise Ratio of 39.05. Additionally, it saves approximately 34 times the computation time and about 10 times the memory compared to traditional algorithms.

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