Author

Pan Gao

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Preprint Oct 2026

ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling

ControlFlow3D is proposed, a framework that distills knowledge from pretrained foundation models into a lightweight generation network during training, enabling strong performance without multi-view images available at test time, and performs conditional flow matching in a structured latent space defined by a frozen 3D...

Yuang Liu, Zhi Zuo, Zheng-Kai Zhao et al. · 0 citations

Sep 2026

Disco4D: Towards Prior-Free Motion Representation Learning for Point Cloud Videos Via Self-Disentangled Contrastive Pre-Training

This work proposes Disco4D, a self-disentangled pre-training to extract expressive 4D representations, to separate motion learning in the high-level latent space of the MAE bottleneck while performing geometric reconstruction in the low-level Euclidean space.

Zhi Zuo, Chen-Yi Zhuang, Pan Gao et al. · International Journal of Com... · 0 citations

Jul 2026

GrainGS: Gradient-Decoupled Gaussian Splatting for Efficient Dynamic Novel View Synthesis

GrainGS is a dynamic Gaussian framework that combines a hierarchical anchor scaffold with per-Gaussian deformation that achieves high reconstruction quality, real-time novel view synthesis, and compact storage.

Jiahao He, Yi-Hua Shao, Zhengkai Zhao et al. · arXiv.org · 0 citations