PoseFM is the first method to reformulate monocular frame-to-frame visual odometry as a flow-matching generative model that predicts camera pose distributions for built-in uncertainty.
Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer
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PoseFM: Relative Camera Pose Estimation Through Flow Matching
PoseFM is the first method to reformulate monocular frame-to-frame visual odometry as a flow-matching generative model that predicts camera pose distributions for built-in uncertainty.
- FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models