基于LTX2.3的向高清修复、视频去水印等编辑任务，提出统一的时空扩散技术路线：在 LTX-2.3 框架下以任务感知型适配器（Task-Aware Adapters）替代单一 LoRA 增量，通过轻量 Control-Transformer、零初始化残差连接与分层解耦注入机制，分别建模结构修复与纹理风格控制。为提升时序稳定性，方法在潜空间引入流引导注意力（Flow-Guided Latent Attention），结合跨帧滑窗关联与光流运动先验，降低闪烁并增强遮挡区域补全的一致性。针对三类核心场景，系统进一步整合语义遮挡重构、布局保持的指令编辑与频率域纹理精修，并采用渐进式多任务课程学习与任务路由策略，实现单模型多任务协同优化。
☆134Jun 1, 2026Updated last month
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