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ACM Multimedia 2023Technical Demonstrations

EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation

Shanghua Gao, Zhijie Lin 0001, Xingyu Xie, Pan Zhou 0002, Ming-Ming Cheng, Shuicheng Yan

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3581783.3612680 ↗

摘要

Image editing plays a vital role in computer vision field, aiming to realistically manipulate images while ensuring seamless integration. It finds numerous applications across various fields. In this work, we present EditAnything, a novel approach that empowers users with unparalleled flexibility in editing and generating image content. EditAnything introduces an array of advanced features, including cross-image dragging (e.g., try-on), region-interactive editing, controllable layout generation, and virtual character replacement. By harnessing these capabilities, users can engage in interactive and flexible editing, giving captivating outcomes that uphold the integrity of the original image. With its diverse range of tools, EditAnything caters to a wide spectrum of editing needs, pushing the boundaries of image editing and unlocking exciting new possibilities. The source code is released at https://github.com/sail-sg/EditAnything.