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