SDFlow learns a global transport map via similarity-driven flow matching in VQ latent space, using low-rank manifold decomposition and a categorical posterior to handle discreteness, yielding SOTA long-horizon performance and inference speedups.
Purrception: Variational flow matching for vector-quantized image generation,
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VQActFlow discretizes action chunks via vector quantization, generates code sequences with variational flow matching, and applies inference-time guidance to steer multi-task robot policies toward instructed and feasible modes.
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SDFlow: Similarity-Driven Flow Matching for Time Series Generation
SDFlow learns a global transport map via similarity-driven flow matching in VQ latent space, using low-rank manifold decomposition and a categorical posterior to handle discreteness, yielding SOTA long-horizon performance and inference speedups.
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VQActFlow: Vector-Quantized Action Mode Steering for Multi-Task Robot Manipulation
VQActFlow discretizes action chunks via vector quantization, generates code sequences with variational flow matching, and applies inference-time guidance to steer multi-task robot policies toward instructed and feasible modes.