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
In latest · #50 Added on 2026-10-21
One-line takeaway
GAE reparameterises geometry foundation-model features into a compact latent space so generated worlds stay 3D-consistent.
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。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
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