Data-space iteration is a few-step generation framework that removes the need for manual timestep discretization in flow matching. This allows for more flexible refinement where the difficulty varies across different samples.
HOW THIS AFFECTS YOU
●
builderThis potentially enables higher-quality, low-step sampling for faster generation.
●
researcherYou can bypass the expensive tuning of manual discretization in flow-based generative models.