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Zihao Fan

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Preprint Sep 2026

What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling

World action models (WAMs) predict the future alongside actions during training. Due to the heavy computation cost of video denoising, whether the future must still be generated during inference is disputed: Explicit WAMs denoise it into clean frames along with every action chunk, whereas Latent WAMs discard it entirel...

Ren-Ping Zhou, Zan-Lin Ni, Zi-Hao Fan et al. · 0 citations
Preprint Aug 2026

OmniVR: Joint Video-Audio Conditional Generation for Restoring Degraded Historical Films

OminiVR surpasses all prior methods on all six visual metrics, achieves the best audio quality, and produces natural colorization---the first method to jointly address all three aspects of audio-video generative restoration.

Xin Lu, Zihao Fan, Mingchen Zhong et al. · 1 citation

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