KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing 事件

KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing arXiv:2605.29509v1 Announce Type: new Abstract: In recent years, training-free video generation has progressed remarkably. However, when handling complex textual instructions, existing methods still suffer from semantic ambiguity, incorrect concept binding, and cross-frame inconsistency. To address these issues, we propose KGEdit, a structured semantic control framework for text-to-video (T2V) diffus