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Aiyue Chen

2 accepted papers

2026

ASTRAEA: A Token-wise Acceleration Framework for Video Diffusion Transformers

ICLR 2026poster

Video diffusion transformers (vDiTs) have made tremendous progress in text-to-video generation, but their high computational demands pose a major challenge for practical deployment. While existing studies propose acceleration methods to reduce workload at various granularities, they often rely on he…

Cited by 0SourceScholar
2026

TimeRipples: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space

CVPR 2026

The recent surge in video generation has shown the growing demand for high-quality video synthesis using large vision models. Existing video generation models are predominantly based on the video diffusion transformer (vDiT), however, they suffer from substantial inference delay due to self-attentio

Cited by 0SourceScholar