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Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
Flow Matching enables high-quality visual generation via continuous-time dynamics, but inference remains costly due to multiple sequential function evaluations. Existing acceleration methods reduce the number of function evaluations but often introduce additional training overhead, degrade quality,
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