al and empirical contributions
of Uni-Instruct will potentially help future studies on one-step diffusion
distillation and knowledge transferring of diffusion models.</p>
            
            <p class="paper-tldr"><strong>TLDR</strong>: The paper introduces Uni-Instruct, a theoretical framework that unifies existing one-step diffusion distillation approaches, achieving state-of-the-art generation performance on image benchmarks and showing promising results on text-to-3D generation.</p>
            
   