RealUID is a universal distillation framework for matching models that incorporates real-data supervision without GANs and supplies a theoretical foundation covering diffusion, flow matching, bridge matching, and stochastic interpolants.
Following the structure of generator SiD loss, we propose to scale the first coefficient in our RealUID loss during generator updates
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Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)
RealUID is a universal distillation framework for matching models that incorporates real-data supervision without GANs and supplies a theoretical foundation covering diffusion, flow matching, bridge matching, and stochastic interpolants.