The authors revisit distribution matching distillation (DMD) and adapt its two interfaces to native RGB generation.
Few-step pixel diffusion outperforms 25-step teacher via banded matching and DINOv2 guidance
DMA² specializes distribution matching distillation for native RGB, restricting teacher matching to high noise and routing adversarial guidance through a frozen DINOv2 encoder to beat a 25-step teacher in four steps.
Independent
Xin Lin · Zhifei Zhang · Yuqian Zhou · Haitian Zheng · Shaoteng Liu · Lehan Yang · +3 more
Research Digest··3 min read
The authors present DMA², a few-step distillation framework for pixel-space text-to-image diffusion.
Why this paper
Independent
In one line
DMA^2 distills native-RGB diffusion into four steps, outperforming its 25-step teacher on all seven metrics.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
§