Author

Xianglong Liu

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Preprint Oct 2026

LightVAE: Towards Compact and Efficient Video Autoencoders

Latent diffusion models enable high-quality video generation, but video VAE encoding and decoding remain computationally expensive. Existing methods use stage-specific lightweight operators, yet either constrain spatial and temporal computation jointly or remove temporal computation altogether, without distinguishing t...

Shi-Qiao Gu, Yang Yong, Feng-Jun Zhong et al. · 0 citations

#artificial intelligence Preprint Oct 2026

DreamHMR: From Video Generation to Human Motion Modeling via Structural Focusing

Human mesh recovery (HMR) provides a geometric foundation for understanding human motion, but accurately reconstructing both body motion and fine hand articulation from videos remains challenging, especially in real-world scenes where occlusion and partial visibility are common. Video generation pretraining offers rich...

Zheng-Jie Xu, Rui-Hao Gong, Xiang-Long Liu · 0 citations

StructureBench: A Unified Benchmark Suite for Multi-Scenario Structured Generation Tasks with On-Device Models

The experiments show that constrained decoding consistently enforces syntactic validity, but does not reliably improve semantic accuracy and may even degrade performance for smaller models or complex grammars, and reveal clear task-and model-dependent boundaries for effective constrained decoding.

Xiao-Kun Xiong, Zhengjie Xu, Junyi Chen et al. · 0 citations