EditAnything: Empowering unparalleled flexibility in image editing and generation
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...
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2023
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sg-smu-ink.sis_research-100312024-07-25T08:02:41Z EditAnything: Empowering unparalleled flexibility in image editing and generation GAO, Shanghua LIN, Zhijie XIE, Xingyu ZHOU, Pan CHENG, Ming-Ming YAN, Shuicheng 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. 2023-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/9028 info:doi/10.1145/3581783.3612680 https://ink.library.smu.edu.sg/context/sis_research/article/10031/viewcontent/2023_ACMMM_EditAnything__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Graphics and Human Computer Interfaces |
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Graphics and Human Computer Interfaces GAO, Shanghua LIN, Zhijie XIE, Xingyu ZHOU, Pan CHENG, Ming-Ming YAN, Shuicheng EditAnything: Empowering unparalleled flexibility in image editing and generation |
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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. |
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text |
author |
GAO, Shanghua LIN, Zhijie XIE, Xingyu ZHOU, Pan CHENG, Ming-Ming YAN, Shuicheng |
author_facet |
GAO, Shanghua LIN, Zhijie XIE, Xingyu ZHOU, Pan CHENG, Ming-Ming YAN, Shuicheng |
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GAO, Shanghua |
title |
EditAnything: Empowering unparalleled flexibility in image editing and generation |
title_short |
EditAnything: Empowering unparalleled flexibility in image editing and generation |
title_full |
EditAnything: Empowering unparalleled flexibility in image editing and generation |
title_fullStr |
EditAnything: Empowering unparalleled flexibility in image editing and generation |
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EditAnything: Empowering unparalleled flexibility in image editing and generation |
title_sort |
editanything: empowering unparalleled flexibility in image editing and generation |
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Institutional Knowledge at Singapore Management University |
publishDate |
2023 |
url |
https://ink.library.smu.edu.sg/sis_research/9028 https://ink.library.smu.edu.sg/context/sis_research/article/10031/viewcontent/2023_ACMMM_EditAnything__1_.pdf |
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