Author

Xiang-Yu Yue

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Preprint Oct 2026

Position Forcing: Self-Conditioning 3D Generation

Recent single-stage 3D generative models commonly adopt VecSet representations, encoding 3D shapes as unordered sets of latent tokens. However, compared with two-stage methods that provide explicit positional guidance, these models must implicitly infer token positions throughout denoising, limiting their generation qu...

Zi-Juan Ouyang, Ze-Qiang Lai, Jia-Rui Chen et al. · 0 citations

#artificial intelligence Preprint Oct 2026

MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers

Sparse attention is a primary approach to reducing the latency of diffusion transformers in long-sequence generation tasks, such as video and high-resolution 3D asset generation. However, existing methods can degrade generation quality and fidelity at high sparsity levels. Through controlled oracle comparisons, we trac...

Jia-Rui Chen, Ze-Qiang Lai, Jiang-Shan Wang et al. · 0 citations

Preprint Aug 2026

From Local Mismatch to Global Impact: Optimizing Cache Reuse Policy for Efficient Diffusion

The proposed Global-Impact Cache identifies an optimal reuse policy in the inner objective while aligning the error-weighting function with generation quality loss in the outer objective and reformulates cache policy search as a bilevel optimization problem.

Xichen Ye, Yifan Wu, Zhi-Kang Xie et al. · 0 citations