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
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
VIVAS is proposed, a framework built upon the unified token space paradigm, which introduces a dense-structural-semantic vision tokenizer, which expands the textual vocabulary into a unified vision-language vocabulary by incorporating a visual vocabulary.
Zhe-Han Kan, Yu-Bo Zhu, Xing-Hua Jiang et al.· 0 citations
DPA is grounded in a critical insight: regardless of fine-tuning tactics to evade provenance, the practical necessity of maintaining utility constrains the model to preserve the fundamental intersection of semantic substance and lexical form, and captures this persistent lexical-semantic intersection as intrinsic distr...
Zirui Huang, Yunlong Mao, Wei Tong et al.· 0 citations
VGAU-Diag is introduced, a fine-grained evaluation framework for vision generation-assisted understanding that stratifies samples by difficulty, enables unified evaluation of multiple reasoning paradigms, and uses Oracle-Ass Reference Protocols.
Yu-Bo Zhu, Zhe-Han Kan, Jing-Yi Yang et al.· 2 citations
KFS-RAG is proposed, a defense that mitigates information leakage by reformulating the retrieved context by identifying a small set of influential keywords from the retrieved context via an attention rollout plus a causal perturbation mechanism.
Ziliang Zhang, Yu-Bo Zhu, Wei Tong et al.· 0 citations
PURPOSE is proposed, a strict black-box poisoning attack that reframes the injection as an update that minimizes conflict, rather than as a counter-claim, and identifies non-contradicting injection as a practical mode to enhance poisoning attack.
Zijian Wang, Yubo Zhu, M. Dong et al.· 0 citations
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