Author

Zeqiang Lai

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#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

Beyond Global Latents: Chunk-Based Sparse Grid VAE for Scalable 3D Modeling

ChunkVAE, a sparse grid variational autoencoder organized around local chunks rather than a global latent volume, is introduced, indicating that local compression can scale geometry while retaining the global interface required downstream.

Kaiyi Zhang, Zhihao Liang, Haolin Liu et al. · 0 citations