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Training-free conditional sampling for Schrödinger Bridges is now possible, achieving state-of-the-art results on image generation and inverse problems by twisting SB's inherent endpoint prediction capabilities.
QAT-FM reduces coupling construction costs while achieving competitive generative performance, transforming how we approach high-dimensional generative tasks.