arXiv 2609.24981 · cs.CV · 2026-09-21
GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation
Jiahao Lu, Minghao Yin, Wenbo Hu, Hengyu Liu, Wang Zhao, Sai-Kit Yeung, Ying Shan, Yuan Liu
ARC Lab, Tencent
在最新榜 #50 本站收录于 2026-10-21
一句话要点
GAE 把几何基础模型的特征重参数化成紧凑潜空间，让生成的世界在 3D 上保持一致。
GAE reparameterises geometry foundation-model features into a compact latent space so generated worlds stay 3D-consistent.
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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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