Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation

Published
Source
arXiv
Paper number
730
Field
Computer Vision
arXiv ID
2607.24731

Key points

  • OPD, which only matches CFG synthesis, fails to capture branch-level stagnation, so errors cancel out.
  • Privileged information in the teacher's negative branch causes the negative-branch asymmetry, or NBA, failure.
  • PDM separately constrains the positive prediction and the CFG direction, meaning positive minus negative, to prevent cancellation.
  • When the guidance scale changes, the baseline method breaks, but PDM remains stable.
  • By adjusting direction weights and the number of supervised states, it finds the best trade-off between accuracy and efficiency.
  • It improves control fidelity in pose, depth, and dense versus sparse scribble video control.

Paper links

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