Author

Jiacheng Liu

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Preprint Aug 2026

AViTS: Adaptive Spatiotemporal Token Selection for Efficient Dynamic-Resolution Generation

AViTS models spatial importance via latent-text attention and temporal importance via token-level feature variation across diffusion timesteps, and fuses them to enable spatiotemporal importance-aware selective upsampling: it prioritizes resolution refinement for critical tokens while deferring less important ones, the...

Hao-Ran Qin, Zhen Yan, Shikang Zheng et al. · 0 citations

#machine learning Preprint Sep 2026

Accelerating Diffusion Transformers with Gaussian Process Rectified Feature Cache

A statistical observation that the residuals between the features of full computation steps using caching methods and reference full-compute trajectory locally exhibit a zero-mean Gaussian distribution is presented, and a plug-and-play GP-Refiner correction framework is proposed.

Zhi-Rong Shen, Rui-Xin Huang, Chang Zou et al. · 0 citations

Preprint Aug 2026

LinCa: Accelerating Diffusion Models via Learnable Decomposed Feature Caching

LinCa decomposes cached features into sub-components with distinct continuity properties via a lightweight invertible network and applies differentiated prediction orders matched to each component, forming a unified Decompose-Predict-Reconstruct pipeline.

Jin-Shan Liu, Hao-Ran Qin, Xiao-Bing Tu et al. · 0 citations