Author

Jiahao Lu

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Preprint Oct 2026

PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training

Feed-forward 3D reconstruction models have achieved remarkable progress through large-scale training and strong learned priors. However, they remain fragile when applied to dynamic in-the-wild videos, where non-rigid motion, occlusions, and illumination changes are prevalent. A key limitation lies in their reliance on...

Yao-Long Zhu, Peng Li, Jia-Hao Lu et al. · 0 citations

Preprint Oct 2026

ForcingBooster: Adaptive Patch-wise Denoising for Fast Autoregressive Video Diffusion

Autoregressive video diffusion models have become a leading approach to real-time interactive video generation and video world modeling. However, existing methods typically allocate computation uniformly across space when generating the next video chunk, updating all patches with the same denoising schedule and number...

Ze-Kai Gu, Peng Wang, Jia-Hao Lu et al. · 0 citations

Preprint Sep 2026

GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation

Results show that the latent space is central to geometry-consistent generation and can serve as a shared interface between perception and generation.

Jia-Hao Lu, Minghao Yin, Wen-Bo Hu et al. · 0 citations