Unifying Distributional Training for One-Step Visual Generation
\emph{Distributional training} provides collective supervision for one-step visual generation by matching real and generated features in frozen representation spaces. We introduce \emph{a unified theoretical framework} that separates distribution modeling from matching discrepancy and connects global objectives to poin...
Chi Zhang, Hao-Yan Shi, Yue-Yi Liu et al.
· 1 citation