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SIGGRAPH2025顶会

EDGE: Epsilon-Difference Gradient Evolution for Buffer-Free Flow Maps

Zhiqi Li, Ruicheng Wang, Junlin Li, Duowen Chen, Sinan Wang, Bo Zhu

2025年份
1被引次数
1顶会引用

摘要

We propose the Epsilon Difference Gradient Evolution (EDGE) method for accurate flow-map calculation on grids via Hermite interpolation without using velocity buffers. Our key idea is to integrate Gradient Evolution for accurate first-order derivatives and a tetrahedron-based Epsilon Difference scheme to compute higher-order derivatives with reduced memory consumption. EDGE achieves O (1) memory usage, independent of flow map length, while maintaining vorticity preservation comparable to buffer-based methods. We validate our methods across diverse vortical flow scenarios, demonstrating up to 90% backward map memory reduction and significant computational efficiency, broadening the applicability of flow-map methods to large-scale and complex fluid simulations.

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