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Wei Zhai

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Preprint Oct 2026

Towards Unified Evaluation of Prompt Enhancers for Video Generation

Modern video generators can realize increasingly complex visual narratives, positioning the prompt enhancer (PE) as a critical bridge from concise user instructions and multimodal references to structured cinematic plans. However, existing PE evaluation relies on rendered videos, imposing substantial computational and...

Ya-Wen Shao, Yu-Bo Zhu, Zi-Yun Dai et al. · 0 citations
Preprint Sep 2026

WanPE: Towards Cinematic Prompt Enhancement for Modern Text-to-Video Generation

WanPE formulates shot-level cinematic plans via video-grounded reverse construction and employs Semantic-Consistency GRPO (SC-GRPO) to faithfully preserve user requirements across shots and over time, leading all evaluated commercial offerings at 5-15 seconds and remains competitive with Seedance 2.5 at 30 seconds.

Yu-Bo Zhu, Ya-Wen Shao, Zi-Yun Dai et al. · 0 citations
Preprint Sep 2026

Code Plans, Diffusion Renders: Open-Ended Generative World Modeling

Extensive experiments demonstrate that the CoDeR framework substantially extends the capabilities of existing world models, enabling long-term memory, open-ended interactions, autonomous evolution, and persistent multi-agent dynamics, while achieving state-of-the-art performance across multiple evaluation settings.

Zi-Xun Fang, Ya-Wen Shao, Kai Zhu et al. · 0 citations

Back on Track: Aligning Rewards and States for Reasoning in Diffusion Large Language Models

This work introduces Process Aligned Policy Optimization (PAPO), a novel framework that holistically aligns the RL update with the dLLM's generative trajectory via Step-Aware Process Rewards (SPR) that transform sparse terminal rewards into dense, step-wise credit, and Entropy-Guided Historical Re-enactment that replay...

Ya-Wen Shao, Jie Xiao, Kai Zhu et al. · 1 citation
Preprint Aug 2026

LogiShot: Logically Coherent Cross-Shot Video Generation

LogiShot is proposed, which incorporates information through two complementary paths that jointly encodes the context video and other conditioning signals, yielding dense multimodal cues that provide visual-semantic evidence for cross-shot generation and the model maintains a visual memory of the context video througho...

Shuai Guo, Yu-Hang Yang, Zeyu Zhang et al. · 1 citation

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