可灵发布技术报告：视频生成背后的多模态理解观察与洞见
原标题：Paper page - Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling
AI 摘要
快手可灵（Kling）团队发布技术报告，总结多代视频生成系统在多模态理解方面的观察与洞见。报告提出视频生成瓶颈正从渲染转向语义控制，并以统一图像、视频、音频等输入的多模态基础模型 Kling-MLLM 为核心，逐模块梳理数据、条件化、对齐、评估全链路，涵盖高密度与参考锚定式描述生成、提示词增强、感知训练得到的文本编码器、奖励建模及任务特定自动评估。报告希望为构建可控视频生成背后的理解栈提供实践指导。
正文节选
Behind Video Generation: Observations and Insights on Multimodal Understanding from Kling Abstract Kling's multimodal understanding stack links caption density, perceptual text encoding, reward modeling, and evaluation protocols to improve controllable video generation. Video generation has progressed from isolated clips to coherent short-form audiovisual sequences, and the bottleneck is shifting from rendering to semantic control. This report summarizes the observations and insights on multimod