Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
11-2023
Abstract
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 crossimage 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.
Discipline
Graphics and Human Computer Interfaces
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
MM '23: Proceedings of the 31st ACM International Conference on Multimedia, Ottowa, Canada, October 29 - November 3
First Page
9414
Last Page
9416
ISBN
979840070108
Identifier
10.1145/3581783.3612680
Publisher
ACM
City or Country
New York
Citation
GAO, Shanghua; LIN, Zhijie; XIE, Xingyu; ZHOU, Pan; CHENG, Ming-Ming; and YAN, Shuicheng.
EditAnything: Empowering unparalleled flexibility in image editing and generation. (2023). MM '23: Proceedings of the 31st ACM International Conference on Multimedia, Ottowa, Canada, October 29 - November 3. 9414-9416.
Available at: https://ink.library.smu.edu.sg/sis_research/9028
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3581783.3612680