How VA‑π Bridges Tokenizers and Autoregressive Generators for Pixel‑Perfect Images

VA‑π introduces a lightweight post‑training framework that uses variational inference and reinforcement learning to align tokenizers with visual autoregressive generators, achieving dramatic quality gains, extreme training efficiency, and robust pixel‑level reconstruction across diverse image generation tasks.

Autoregressive ModelsPixel Alignmentpost-training

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How VA‑π Bridges Tokenizers and Autoregressive Generators for Pixel‑Perfect Images

AIWalker

Mar 6, 2026 · Artificial Intelligence

VA‑π: Pixel‑Level Alignment Achieves 50% FID Reduction with 25‑Minute Fine‑Tuning

The paper introduces VA‑π, a lightweight post‑training framework that aligns pixel‑level reconstruction with autoregressive generation using variational inference and reinforcement learning, achieving up to 50% FID reduction after just 25 minutes of fine‑tuning on LlamaGen‑XXL.

AR ModelsPixel AlignmentVision Generation

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