Abstract
EasyV2V presents a high-quality instruction-based video editing framework that enables intuitive and precise video manipulation through natural language instructions. Our approach combines state-of-the-art video generation models with advanced instruction understanding, allowing users to edit videos with unprecedented ease and quality. The framework supports a wide range of editing operations, from simple color adjustments to complex semantic modifications, all controlled through natural language commands.
Type
Publication
arXiv preprint, 2025