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Guiding Visual Autoregressive Models through Spectrum Weakening

Spectrum-weakening guidance constructs a weak visual autoregressive model via spectral selection to improve unconditional quality and conditional alignment without retraining or architectural changes.

Chaoyang Wang, Tianmeng Yang, Yunhai Tong

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 0/5