Laura Leja, Oskars Teikmanis, Kārlis Freivalds. Shaping Flames with Differentiable Physics Simulations. "Machine Learning and the Physical Sciences" at NeurIPS 202, NeurIPS, 2024.
Bibtex citāts:
Bibtex citāts:
@inproceedings{16864_2024,
author = {Laura Leja and Oskars Teikmanis and Kārlis Freivalds},
title = {Shaping Flames with Differentiable Physics Simulations},
journal = {"Machine Learning and the Physical Sciences" at NeurIPS 202},
publisher = {NeurIPS},
year = {2024}
}
author = {Laura Leja and Oskars Teikmanis and Kārlis Freivalds},
title = {Shaping Flames with Differentiable Physics Simulations},
journal = {"Machine Learning and the Physical Sciences" at NeurIPS 202},
publisher = {NeurIPS},
year = {2024}
}
Anotācija: We introduce a method for shaping simulated flames into customisable forms, with the goal of overcoming the limitations of current pyrotechnic systems, which are typically restricted to producing basic fire columns with minimal control over the resulting shape. Our approach leverages differentiable physics and combustion simulations. We demonstrate the use of differentiable physics-based training to produce simulated letter-shaped flames, and take initial steps towards implementing this method on real flame projectors by aligning the simulation with a physical device. The ability to control flame shape would significantly expand the possibilities for stage pyrotechnics and creative applications in performance art.