AI RESEARCH
3-D Representations for Hyperspectral Flame Tomography
arXiv CS.LG
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ArXi:2603.27832v1 Announce Type: cross Flame tomography is a compelling approach for extracting large amounts of data from experiments via 3-D thermochemical reconstruction. Recent efforts employing neural-network flame representations have suggested improved reconstruction quality compared with classical tomography approaches, but a rigorous quantitative comparison with the same algorithm using a voxel-grid representation has not been conducted.