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：我们提出视频商店（Videoshop），一种无需训练的局部语义视频编辑算法。用户可借助任意编辑软件（包括Photoshop、生成式图像修复等）修改首帧图像，该算法能自动将修改内容以语义、空间及时间一致性运动的方式传播至后续帧。不同于依赖模糊文字指令实现编辑的现有方法，视频商店允许用户通过精细的位置与外观控制，实现对象增删、语义替换、向视频插入素材图片等操作。我们通过基于图像的视频编辑实现这一目标：利用噪声外推进行潜在空间反演，进而基于编辑后图像生成条件化视频。在10项评估指标下，视频商店在两个编辑基准测试中相较于6种基线方法均能生成更高质量的编辑结果。