ImageNet-$64\times 64$ generation benchmark, Uni-Instruct achieves a new SoTA
one-step generation FID of \textbf{\emph{1.02}}, which outperforms its 79-step
teacher diffusion with a significant improvement margin of 1.33 (1.02 vs 2.35).
We also apply Uni-Instruct on broader tasks like text-to-3D generation. For
text-to-3D generation, Uni-Instruct gives decent results, which slightly
outperforms previous methods, such as SDS and VSD, in terms of both generation
quality and diversity. Both the solid theoretic