Research: Frozen Pixel-Space Diffusion Models Can Self-Guide
nanyang-technological-university-singapore · hf · 2026-08-04
To address the challenge of pixel-space diffusion models, researchers propose Synthetic Self-Guidance (SSG), a low-cost complementary strategy.
- Mechanism: Uses the discrepancy between intermediate and final predictions of a frozen pretrained model as a self-guidance direction.
- Training Advantage: Real images are unnecessary; model-generated samples suffice for training the lightweight head, requiring <1% of full-model compute.
- Results: Consistently improves generation across multiple models on ImageNet, reducing FID by over 50% (e.g., JiT-H/16 from 1.86 to 1.67).
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