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Ming-Xin Yang

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Preprint Oct 2026

Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction

Set-based variational autoencoders (VecSet VAEs) represent 3D shapes as compact sets of latent tokens. Although each token originates from a query at a sampled surface location, whether these latents truly align with geometry remains unclear. We investigate this alignment and identify four issues: (i) attention-sink-li...

Huai-Zhi Qu, Ming-Xin Yang, Xin-Tong Han et al. · 0 citations

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