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Chunxia Xiao

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Open access Jul 2026

Tempo3D: Efficient Temporal-Aware Fine-Tuning and Multi-View Latent Aggregation for 3D Generation

Tempo3D is proposed, a resource-efficient paradigm for high-fidelity VecSet-based 3D generation via efficient temporal-aware fine-tuning and multi-view latent aggregation that outperforms state-of-the-art baselines in generation quality, geometric precision, and editability under a highly efficient computational budget.

Huizhi Zhu, Jiongming Qin, Yusen Wang et al. · 0 citations