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Xuzhe Zheng

2 accepted papers

2026

Flow Caching for Autoregressive Video Generation

ICLR 2026poster

Autoregressive models, often built on Transformer architectures, represent a powerful paradigm for generating ultra-long videos by synthesizing content in sequential chunks. However, this sequential generation process is notoriously slow. While caching strategies have proven effective for accelerati…

Cited by 0SourcecodeScholar
2026

Motion-Aware Caching for Efficient Autoregressive Video Generation

ICML 2026poster

Autoregressive video generation paradigms offer theoretical promise for long video synthesis, yet their practical deployment is hindered by the computational burden of sequential iterative denoising. While cache reuse strategies can accelerate generation by skipping redundant denoising steps, existi…

Cited by 0SourceScholar