AI RESEARCH
Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting
arXiv CS.CV
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ArXi:2603.28049v1 Announce Type: new Autoregressive (AR)-Diffusion hybrid paradigms combine AR's structured semantic modeling with diffusion's high-fidelity synthesis, yet suffer from a dual speed bottleneck: the sequential AR stage and the iterative multi-step denoising of the diffusion vision decode stage. Existing methods address each in isolation without a unified principle design.