We introduce Videoshop, a training-free video editing algorithm for localized semantic edits. Videoshop allows users to use any editing software, including Photoshop and generative inpainting, to modify the first frame; it automatically propagates those changes, with semantic, spatial, and temporally consistent motion, to the remaining frames. Unlike existing methods that enable edits only through imprecise textual instructions, Videoshop allows users to add or remove objects, semantically change objects, insert stock photos into videos, etc. with fine-grained control over locations and appearance. We achieve this through image-based video editing by inverting latents with noise extrapolation, from which we generate videos conditioned on the edited image. Videoshop produces higher quality edits against 6 baselines on 2 editing benchmarks using 10 evaluation metrics.

翻译：我们提出Videoshop，一种无需训练的视频编辑算法，用于实现局部化语义编辑。Videoshop允许用户使用任何编辑软件（包括Photoshop和生成式图像修复）修改首帧；它自动将这些带有语义、空间和时间一致性运动的修改传播至剩余帧。不同于仅能通过不精确文本指令实现编辑的现有方法，Videoshop允许用户对位置和外观进行精细控制，从而添加或移除物体、语义化修改物体、向视频中插入素材图片等。我们通过基于噪声外推的潜在空间反演实现基于图像的视频编辑，并据此生成以编辑图像为条件的视频。在两项编辑基准测试中，采用10项评估指标，Videoshop在6种基线方法中取得了更高质量的编辑效果。