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AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers
AHPA adaptively selects hierarchical VAE feature priors via a timestep-conditioned router to match diffusion transformer alignment granularity to denoising needs, improving convergence without inference overhead.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 9 of 20 reviewers recommend it
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