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MintFlow: Minimal Trajectory Intervention for Constrained Flow Matching
Not provided in the abstract
generative modelingconstraint satisfactionsampling methods
2610.02260
Builder Relevance
1h ago80%
Abstract
MintFlow introduces a training-free constrained sampling framework that minimally perturbs flow states to satisfy constraints while preserving the pretrained distribution.
Reality Card
Core Claim
MintFlow achieves competitive constraint satisfaction while maintaining the pretrained generative distribution better than existing constrained methods.
Method / Result
MintFlow provides a closed-form expression for perturbation, eliminating the need for expensive iterative optimization.
Limitations
The paper does not specify authors or provide detailed experimental setups, which may hinder reproducibility.
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