用流模型替代VAE，实现高效可修正的生成解码。
RAC: Rectified Flow Auto Coder
- 通过流动时间步逐步解码，路径直且可调
- 双向推理减少41%参数量，生成质量更高
- 适合追求高效生成与低计算成本的场景
本文提出一种受修正流启发的直通式自动编码器（RAC），以替代传统变分自编码器（VAE）。该方法通过在流动时间步上应用解码器实现多步解码，解码路径笔直且可修正，支持逐步优化。模型天然具备双向推断能力，解码器可通过时间反转充当编码器，使参数量减少约41%。这种生成式解码能沿路径修正潜在变量，部分缓解重建-生成差距。实验表明，RAC在重建与生成性能上均优于现有SOTA VAE，且计算成本降低约70%。
原文摘要 · Abstract (English)
In this paper, we propose a Rectified Flow Auto Coder (RAC) inspired by Rectified Flow to replace the traditional VAE: 1. It achieves multi-step decoding by applying the decoder to flow timesteps. Its decoding path is straight and correctable, enabling step-by-step refinement. 2. The model inherently supports bidirectional inference, where the decoder serves as the encoder through time reversal (hence Coder rather than encoder or decoder), reducing parameter count by nearly 41%. 3. This generative decoding method improves generation quality since the model can correct latent variables along the path, partially addressing the reconstruction--generation gap. Experiments show that RAC surpasses SOTA VAEs in both reconstruction and generation with approximately 70% lower computational cost.
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