<ul class="dashed" data-apple-notes-indent-amount="0"><li><span style="font-family: '.PingFangUITextSC-Regular'">文章标题:</span>TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation</li><li><span style="font-family: '.PingFangSC-Regular'">文章地址:</span><a href="https://arxiv.org/abs/2506.07205">https://arxiv.org/abs/2506.07205</a> </li><li>arxiv</li></ul> <img src="https://res.cloudinary.com/montaigne-io/image/upload/v1752469912/108E5A42-0774-417F-BC79-5699A864A620.png" style="background-color:initial;max-width:min(100%,1834px);max-height:min(1094px);;background-image:url(https://res.cloudinary.com/montaigne-io/image/upload/v1752469912/108E5A42-0774-417F-BC79-5699A864A620.png);height:auto;width:100%;object-fit:cover;background-size:cover;display:block;" width="1834" height="1094"> 文章提出了一个training-free的文本引导的视频编辑方法,主要借鉴StableFlow,通过找关键层来实现视频/图像编辑。具体来说,作者通过去掉某层,或去掉某层的位置编码,计算修改前后的输出的相似度,从而得到每一层的重要度(作者发现去掉某层与去掉某层的位置编码具有强相关性)。识别出关键层后,通过KV替换的方式进行视频编辑,值得注意的是,对于真实图像编辑,需要进行inversion,效果依赖于inversion的质量。 <img src="https://res.cloudinary.com/montaigne-io/image/upload/v1752471098/E74DF016-3C9D-4DB8-A630-5644F4D7C0C4.png" style="background-color:initial;max-width:min(100%,1850px);max-height:min(958px);;background-image:url(https://res.cloudinary.com/montaigne-io/image/upload/v1752471098/E74DF016-3C9D-4DB8-A630-5644F4D7C0C4.png);height:auto;width:100%;object-fit:cover;background-size:cover;display:block;" width="1850" height="958"> <img src="https://res.cloudinary.com/montaigne-io/image/upload/v1752471098/B270B9E9-AE10-4370-AF43-FFC21CB7E263.png" style="background-color:initial;max-width:min(100%,1842px);max-height:min(932px);;background-image:url(https://res.cloudinary.com/montaigne-io/image/upload/v1752471098/B270B9E9-AE10-4370-AF43-FFC21CB7E263.png);height:auto;width:100%;object-fit:cover;background-size:cover;display:block;" width="1842" height="932"> <ul class="dashed" data-apple-notes-indent-amount="0"><li>数据:无需训练</li><li>指标:</li><li>硬件:未提及</li><li>开源:<a href="https://emjay73.github.io/TV_LiVE/">https://emjay73.github.io/TV_LiVE/</a> </li></ul>