Author

Yao-Hui Wang

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Preprint Aug 2026

Vorch-Director: Interactive World Story Model via Noise-Aware Error Rectification

Vorch-Director is proposed, a noise-level-aware residual correction strategy that associates each residual with its originating noise level and injects residuals from matched noise regimes during training to produce more realistic autoregressive histories while retaining efficient teacher-forcing training.

Lisai Zhang, Yi-Di Wu, Qi Liu et al. · 1 citation

Preprint Aug 2026

Vorch-IR: Long-Form Unified Multimodal Identity Replacement Video Generation

Vorch-IR is presented, a unified framework that supports single- and dual-person identity replacement, with optional background replacement, in a single model, and an automatic data construction pipeline that synthesizes paired supervision for all four editing settings is developed.

Yaowei Wang, Xiaoyu Chen, Xin Ma et al. · 0 citations