Aero-World adapts a pretrained latent diffusion transformer for action-conditioned aerial video generation by injecting inertial action tokens and using a frozen latent-space Physics Probe for inertial consistency supervision during LoRA finetuning, with a new AeroBench benchmark showing improved AA
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2026 2verdicts
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PredictiveGraphs embeds Bayesian Perpetua* filters into 3D scene graph edges to predict future object states in semi-static scenes and outperforms baselines in simulation and three-week real-world tests.
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Aero-World: Action-Conditioned Aerial Video Generation from Inertial Controls
Aero-World adapts a pretrained latent diffusion transformer for action-conditioned aerial video generation by injecting inertial action tokens and using a frozen latent-space Physics Probe for inertial consistency supervision during LoRA finetuning, with a new AeroBench benchmark showing improved AA
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Predictive Spatio-Temporal Scene Graphs for Semi-Static Scenes
PredictiveGraphs embeds Bayesian Perpetua* filters into 3D scene graph edges to predict future object states in semi-static scenes and outperforms baselines in simulation and three-week real-world tests.