Author

Xin-Tong Han

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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

Preprint Oct 2026

Flow Matching Reinforcement for 3D Mesh Generation via Dynamic Homing Optimization

Flow matching is central to 3D generation, yet in practice its reinforcement learning (RL) methods are largely adapted from 2D visual generation. Representative DPO-, GRPO-, and NFT-style objectives, when applied to negative trajectories, mainly steer predicted velocities away from the corresponding directions without...

Zhen-Wu-Yong Zhou, Zhi-Wei Ning, Pu-Hua Jiang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Flow3D-OPD: Multi-Teacher On-Policy Distillation for 3D Geometry Generation with Flow-Matching Diffusion Transformer

This work proposes Flow3D-OPD, a two-stage post-training framework that introduces multi-teacher distillation into 3D geometry generation and achieves consistent improvements across all geometric quality dimensions and surpasses all teacher models in the average metric.

Zhi-Wei Ning, Zhen-Wu-Yong Zhou, Pu-Hua Jiang et al. · 1 citation