视频大模型

EasyV2V: A High-quality Instruction-based Video Editing Framework

EasyV2V: 一种高质量的基于指令的视频编辑框架

Jinjie Mai, Chaoyang Wang, Guocheng Gordon Qian, Willi Menapace, Sergey Tulyakov, Bernard Ghanem, Peter Wonka, Ashkan Mirzaei

专题命中 视频生成 ：text-to-video(abstract)；分类 cs.CV

AI总结 EasyV2V通过简化设计和灵活输入实现高质量视频编辑，超越现有系统。

Comments Project page: https://snap-research.github.io/easyv2v/

Kling-Omni Technical Report

Kling-Omni 技术报告

Kling Team, Jialu Chen, Yuanzheng Ci, Xiangyu Du, Zipeng Feng, Kun Gai, Sainan Guo, Feng Han, Jingbin He, Kang He, Xiao Hu, Xiaohua Hu, Boyuan Jiang, Fangyuan Kong, Hang Li, Jie Li, Qingyu Li, Shen Li, Xiaohan Li, Yan Li, Jiajun Liang, Borui Liao, Yiqiao Liao, Weihong Lin, Quande Liu, Xiaokun Liu, Yilun Liu, Yuliang Liu, Shun Lu, Hangyu Mao, Yunyao Mao, Haodong Ouyang, Wenyu Qin, Wanqi Shi, Xiaoyu Shi, Lianghao Su, Haozhi Sun, Peiqin Sun, Pengfei Wan, Chao Wang, Chenyu Wang, Meng Wang, Qiulin Wang, Runqi Wang, Xintao Wang, Xuebo Wang, Zekun Wang, Min Wei, Tiancheng Wen, Guohao Wu, Xiaoshi Wu, Zhenhua Wu, Da Xie, Yingtong Xiong, Yulong Xu, Sile Yang, Zikang Yang, Weicai Ye, Ziyang Yuan, Shenglong Zhang, Shuaiyu Zhang, Yuanxing Zhang, Yufan Zhang, Wenzheng Zhao, Ruiliang Zhou, Yan Zhou, Guosheng Zhu, Yongjie Zhu

机构 * Kling Team（Kling团队） 纠错

专题命中 视频生成 ：video generation(abstract)；分类 cs.CV

AI总结 Kling-Omni 是一种通用生成框架，通过多模态视觉语言输入直接合成高质量视频，整合视频生成、编辑和智能推理任务，实现电影级内容创作。

Comments Kling-Omni Technical Report