Abstract: Despite strong performances on many generative tasks, diffusion and flow matching models require a large number of sampling steps to generate high-quality images. This has motivated the ...
Small and fast: only 123M parameters. High-quality voice cloning: state-of-the-art performance in speaker similarity, intelligibility, and naturalness. Multi-lingual: support Chinese and English.
We introduce Quantum Flow Matching (QFM), a deterministic, simulation-free framework for learning continuous state evolutions on the manifold of quantum density matrices. QFM parameterizes a vector ...
Abstract: Flow Matching (FM) is a simulation-free method for learning a continuous, invertible flow that interpolates between two distributions, and in particular generates data from noise. Inspired ...
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