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视频生成背后:Kling 对多模态理解的观察与洞见

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 multimodal understanding gained from successive generations of Kling. We argue that generation qual

阅读原文 · Kling Team, Dong Chen, Jialu Chen, Xinlong Chen, Yifan Dai, Haotian Dong, Binzong Geng, Yushuo Guan, Minghui Guo, Guanlin He, Guanxiao He, Jingyun Hua, Yanwei Huang, Yiyan Ji, Xueping Jia, Yizhuo Jia, Bozhou Li, Jiaze Li, Min Li, Shihao Li, Shujie Li, Shengyi Liao, Weihong Lin, Shiyuan Liu, Xinyu Liu, Siyang Mao, Xiaoru Qu, Dianmo Sheng, Yang Shi, Jiafu Tang, Longxiang Tang, Yuqi Tang, Chengzhuo Tong, Kuo Wang, Qixun Wang, Rui Wang, Tianduo Wang, Yuran Wang, Zekun Wang, Zihao Wang, Boyang Xia, Yifan Xu, Liu Yang, Zhenlong Yuan, Bohan Zeng, Mujin Zhang, Yuanxing Zhang, Zhicheng Zhang, Zhuoran Zhang, Yuanhong Zheng, Kun Gai, Chengru Song, Pengfei Wan

乔木风格重写

向阳乔木 · opencode-go/deepseek-v4.1-flash

Kling 团队发了一篇综述性质的技术报告,讲的是“视频生成模型背后那套多模态理解能力”怎么搭。这类报告的价值不在单点创新,而在于把工业级系统里踩过的坑摊开讲。 先说结论: 这篇值得看,但不要把它当成一篇能复现的方法论文 。它更像一份来自一线的工程观察清单,摘要里没有交代任何定量结果。 这篇论文想解决什么 视频生成已经从“生成几秒孤立片段”走到“生成连贯的短...

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