A graph-free diffusion transformer with a latent bottleneck outperforms graph-based diffusion networks on benchmark fluid flow distributions.
Machine learning for fluid mechanics.Annual review of fluid mechanics, 52:477–508, 2020
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning
A graph-free diffusion transformer with a latent bottleneck outperforms graph-based diffusion networks on benchmark fluid flow distributions.