arXiv 2610.26216 · cs.CV · 2026-10-19
RoAR-VAE: Improving Latent Diffusability through Robust Prediction
Yang Yue, Fangyun Wei, Yitong Wang, Jinjing Zhao, Henry Zheng, Dong Chen, Gao Huang
Tsinghua-LeapLab
在最新榜 #286 本站收录于 2026-10-22
一句话要点
RoAR-VAE 提出“稳健预测”原则：让被破坏的潜变量仍能恢复语义和图像，从而让潜空间更容易被扩散模型学习。
RoAR-VAE trains tokenizers so semantics and pixels remain recoverable from corrupted latents, making latents easier for diffusion models to learn.
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主题与学科
同主题：视觉生成
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
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