Author

Xinyin Ma

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Preprint Sep 2026

Structured Residual Connectivity Matters for Diffusion Transformers

Diffusion Transformers (DiTs) have established themselves as a scalable backbone for high-fidelity image synthesis. However, unlike U-Net based diffusion models that rely on rigid, hand-crafted skip connections, DiTs predominantly use a uniform residual stream that integrates all preceding layers as a monolithic state....

Yu-He Liu, Xinyin Ma, Gongfan Fang et al. · 0 citations

Jul 2026

Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model

Flex-Forcing is introduced, a unified training and inference framework that enables a video diffusion model to seamlessly operate under both bidirectional and autoregressive generation regimes, and achieves consistently better video quality, long-video stability than strong baselines with a rigid inference schedule.

Xinyin Ma, Julius Berner, Chao Liu et al. · arXiv.org · 1 citation