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Shaoteng Liu

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Preprint Jul 2026

Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers

Chimera, a hybrid visual diffusion backbone with a principled scaling recipe that combines Kimi Delta Attention for long-context state tracking with O(N) complexity, interleaved Multi-head Latent Attention (MLA) for direct global interaction, and modality-aware short convolutions for local spatiotemporal context is introduced.

Chongjian Ge, Hanwen Jiang, Tianyu Wang et al. · 1 citation